NumFOCUS promotes open source scientific software.
Contributor: AbidKhan
scikit-bio relies on Cython extensions for performance-critical distance and ordination operations, but these cannot accept GPU arrays. This project...
Contributor: AmanKumar11
Lumen handles tabular data through DuckDB but cannot work with N-dimensional scientific formats like NetCDF, Zarr, and HDF5. This project brings...
Contributor: Basmala Hekal
Gammapy currently serializes its data products across multiple data formats, which creates a fragmented workflow with poor metadata handling. This...
Contributor: Carolina Crespo
This project aims to improve the handling of transposed diffuse irradiance and optical loss modeling in the pvlib-python package. Currently, pvlib’s...
Contributor: Chinmay Tangal
This project aims to scale QuTiP's HEOM solver beyond single-node limitations by integrating PETSc to distribute ODE integration across multiple MPI...
Contributor: eclipse
Standard Bayesian posteriors degrade under model misspecification by collapsing to point estimates. This project implements Predictively Oriented...
Contributor: HARSH_K
OrdinaryDiffEq.jl contains over 18 IMEX Runge–Kutta implementations that share identical stepping logic but have bespoke per-method perform_step!...
Contributor: Isaia Zollo
THE PROBLEM: Solving partial differential equations (PDEs) for parametrical studies is a fundamental part of scientific research, but traditional...
Contributor: Jash Ambaliya
This project will add distributed linear solver support to LinearSolve.jl by expanding and hardening PETSc.jl integration. The goal is to let SciML...
Contributor: Jaweria Batool
AiiDA workflows currently require manual Python scripting. This project builds a multi-agent AI system that lets scientists interact with AiiDA...
Contributor: Jocho-Smith
This project redesigns sbi's potential function API to eliminate stateful behavior, inconsistent IID handling, and device management bugs. The new...
Contributor: Kaushik Raja
r.proj and r.param.scale are widely used GRASS raster modules that run entirely on a single core, leaving modern multi-core hardware idle. This...
Contributor: kofgokhan
MathOptAI.jl is a Julia package for embedding machine learning models into optimization problems built using JuMP. These embeddings work as...
Contributor: Mudit Maheshwari
The current gate-level circuit simulator in qutip-qip utilizes a full sparse Qobj representation of each gate, expanding local gates to the Hilbert...
Contributor: Piyush Panwar
This project focuses on improving the development and testing infrastructure across the ArviZ ecosystem (arviz-base, arviz-stats, and arviz-plots)....
Contributor: Saket Kumar Mall
Currently, the GRASS Data Catalog only queries standard spatial maps and bypasses the temporal database and STDS's entirely. As a result, Space Time...
Contributor: Saqlain01
The U.S. Forest Service's Aerial Detection Survey (ADS) program has produced tens of thousands of hand-drawn polygons marking forest health damage...
Contributor: Satwik Sai Prakash Sahoo
The sbi (Simulation-Based Inference) library currently constructs neural density estimators via opaque factory functions that accept loose keyword...
Contributor: ShubhamSingh1
Standard PCA assumes a globally stationary covariance structure, missing spatial heterogeneity in geographic data. This project implements...
Contributor: Sumaiya Islam
Panel and HoloViews are powerful Python visualization libraries but they have no MCP integration today. AI agents can write visualization code but...
Contributor: Taha Zahid
Every time a researcher wants to train a language model, they end up rewriting the same infrastructure: data loading, optimizer setup, training...
Contributor: Timothy Wong
Scikit-bio offers a great toolkit for working with biological data that has a tree-like structure. Although the current implementation, TreeNode, can...
Contributor: Utku Yilmaz
This project aims to deliver comprehensive, end-to-end non-uniform grid support for MethodOfLines.jl. Currently, basic advection schemes lack...
Contributor: vickysharma
After the 2010 Deepwater Horizon oil spill, airborne surveys produced 18,304 images with 2.6 million birds individually marked using a point-counting...
Contributor: Vikash Kumar_23
I propose to implement the Overlay Layer API for Matplotlib’s interactive backends. Currently, tools like the Cursor widget force a full figure...
Contributor: Visruth
The `loo` package is a widely used R package in the Stan ecosystem which exposes a clean API to cross-validate (CV) Bayesian models. Currently, some...
Contributor: Yicheng Yang
PyMC's variational inference stack — including ADVI and Pathfinder — assumes all data fits in memory. Real-world applications such as financial tick...
Contributor: Abel Abate
sbi is an open-source Python package used for simulation-based inference. It provides an interface for running algorithms that are used to identify...
Contributor: Akshita Sure
Expanded and enhanced nx-parallel, a parallel backend for NetworkX that leverages joblib to parallelize graph algorithms. I implemented several...
Contributor: Andrea Catelli
State-space models (SSMs) provide a flexible framework for modeling dynamic systems where latent states evolve over time. In econometrics, Dynamic...
Contributor: Ashish Mahajan
This project focuses on implementing a versioning system for the DISCOVER Cookbook, enabling seamless navigation across distinct documentation...
Contributor: Astitva Aggarwal
Stochastic dynamical systems play an important role in scientific and engineering domains, particularly in systems governed by Brownian motion or...
Contributor: balgopal
Time series forecasting is paramount in many domains, including finance, healthcare, energy, and climate science. This project suggests incorporating...
Contributor: Bea Márton
Community detection is one of the most commonly used network analysis techniques. It is the process of grouping nodes of a network together based on...
Contributor: Behram
The bayesplot package is a key tool in the Stan ecosystem for visualizing Bayesian analysis results. However, it currently lacks specialized...
Contributor: Dia29
Currently, the Cookbook has multiple resources that can help any event became inclusive and accessible to everyone. However, its accessibility...
Contributor: Egor Pitikov
The LiftOver2D project aims to develop a high-performance tool for converting Hi-C matrices between different genome assemblies and binning schemes....
Contributor: fiendskrah
In the Python Spatial Analysis Library (pysal), the spopt package is concerned with the formulation and solving of various spatial optimization...
Contributor: gauravmanmode
optimagic is a optimization library which aims to provide a unified interface to optimizers from SciPy, NlOpt and many other widely used packages....
Contributor: justuy
This project aims to test the performance of |toqito⟩ and compare it with other quantum computing libraries. It is divided into three parts: (1)...
Contributor: kumar utkarsh
This project aims to extend the capabilities of the ONNX-to-mlpack converter by adding support for more advanced and diverse model architectures. The...
Contributor: madman
This project integrates optimizers from bayesian-optimization, PyGAD, and PySwarms into optimagic, a Python package that offers a unified interface...
Contributor: Massimiliano Carli
sbi is a Python package providing simulation-based inference tools for researchers and practitioners; given simulation results, sbi aims to infer the...
Contributor: Mattia Micheletta Merlin
This project aims to implement the RUBI integration system - a powerful, open source, rule-based integration system developed for the computational...
Contributor: Medha-Bhardwaj
This project will make the addition and sharing of third-party battery models easier in PyBaMM. It is an extension of the PyBaMM cookiecutter project...
Contributor: Michal Novomestsky
A key component of Bayesian inference is integrating over prior distributions to obtain posteriors. In practice however, these distributions are...
Contributor: Nafisa Shamim Rafa
This project addresses the need for enhanced usability and learning resources within the toqito quantum information library by creating a...
Contributor: Nakshatra Piplad
This project aims to enhance DeepForest by integrating and extending the active learning capabilities from Weecology/BOEM into its training pipeline....
Contributor: Petr Sokol
Template Numerical Library (TNL) already includes several solvers for partial differential equations, such as the Finite Element Method (FEM),...
Contributor: Rishab Kumar Jha
Seeing the current increasing demand of high performance batteries, accurate thermal modelling of battery behaviour is essential. This project...
Contributor: Ritesh Chowdhry
This project aims to create a benchmark dataset for tree species classification using multi-sensor airborne data (RGB, HSI, and LiDAR) from the...
Contributor: Samia Haque Tisha
This project attempts to integrate DeepForest's object detection models into Large Language Models (LLMs) so that ecological images can be queried...
Contributor: Shreyansh868
ArviZ is a Python library for the exploratory analysis of Bayesian inference models. It is currently undergoing a major refactor into a modular...
Contributor: Tina0228
This project will investigate algorithms for forecasting based on traditional machine learning (tree based) and time series machine learning...
Contributor: VanshajB
This project aims to develop a comprehensive Hamiltonian Library for QuTiP (Quantum Toolbox in Python). Currently, QuTiP users must frequently...
Contributor: Visruth
The `loo` package is a widely used R package in the Stan ecosystem which exposes a clean API to cross-validate (CV) Bayesian models. As new CV...
Contributor: Zara Zong
Graphs are powerful tools for understanding relationships and structures — from social media connections to brain networks. Often, we want to study...
Contributor: ZixinFeng
This project aims to extend PySAL's spatial optimisation library (spopt) by implementing flow-based facility location models, specifically the Flow...
Contributor: Kabir Jain
The goal of this project is to implement Physics-Informed Point Networks (PIPNs) in Julia to solve partial differential equations (PDEs) on irregular...
Contributor: Ratish Panda
ArviZ is a package for the exploratory analysis of bayesian inference models. The current Python release of ArviZ involves three major modules that...
Contributor: Om Doiphode
The Everglades, a vital habitat for vulnerable and endangered bird species, requires accurate monitoring of nesting patterns for effective...
Contributor: Sharan poojari
The project aims to create an intuitive tool in React for browsing AiiDA graphs, replacing the outdated AiiDA Provenance Browser in Materials Cloud...
Contributor: Mehak Jain
The UI Toolkit serves as a component library tailored for crafting web interfaces within the Jupyter ecosystem, encompassing platforms such as...
Contributor: Harshvir Sandhu
PyTensor is a Python library that allows you to define, optimize/rewrite, and evaluate mathematical expressions involving multi-dimensional arrays...
Contributor: Rohan Babbar
PreliZ is a Python package aimed at helping practitioners choose prior distributions by offering a set of tools for various facets of prior...
Contributor: Ankit Meda
This project aims to enhance PyBaMM's packaging infrastructure by migrating from setuptools and wheel to scikit-build-core, providing improved...
Contributor: Aadya Chinubhai
Time series clustering involves grouping similar time series data together based on specific features or patterns. Deep learning algorithms have...
Contributor: Dax
Accounting for spectral effects in photovoltaic (PV) performance models is critical for accurate and reliable performance forecasts. Variation in the...
Contributor: Patrice
This proposal outlines a project aimed at enhancing the security posture of NumFOCUS affiliate projects by implementing the OSSF Scorecard action and...
Contributor: AlessioParato
The Gradient Ascent Pulse Engineering (GRAPE) algorithm has been implemented in QuTiP, facilitating a model-based approach to quantum optimal...
Contributor: Kishan Ved
PyDataStructs aims to be a Python package for various data structures and algorithms (including their parallel implementations). My project involves...
Contributor: RaghavAgarwal
This project would integrate the current state-of-the-art 3D reconstruction method in computer graphics namely "Gaussian splatting" with existing...
Contributor: Tanish Taneja
PyMC uses PyTensor as its computational backend, which allows efficient optimisation, rewrites and evaluation of mathematical operations. Using a...
Contributor: Ashok Kumar Choudhary
The JupyterLab application relies heavily on plugins sourced from the Lumino project. Currently, all plugins load at startup, significantly...
Contributor: amujahid
Large scale simulation of scientific and engineering problems requires high performance and distributed memory systems. Computing resources and time...
Contributor: Aditi Juneja
Expanded and enhanced the nx-parallel project, a newly developed parallel backend for NetworkX utilizing joblib to parallelize graph algorithms. Key...
Contributor: griegner
Develop aeon-neuro to provide structured tools for machine learning from neural data. This project will focus on implementing algorithms for EEG...
Contributor: Joshua Talahatu
This project focuses on extending the noWorkflow scientific workflow library by introducing new features that enhance its ability to analyze...
Contributor: trygvrad
Multivariate data visualization is useful when grappling with correlated data that naturally arises in a number of scientific fields, such as...
Contributor: Rushiraj Gadhvi
The project aims to improve the quantum circuit visualization capabilities of QuTiP-QIP by introducing a new framework for circuit rendering that...
Contributor: mcao
I propose the implementation of the Pathfinder algorithm for variational inference in PyMC. The Pathfinder algorithm is a recent advancement in the...
Contributor: Santhosh Sundaram
The project aims to build and publish python-cookiecutter templates for new PyBaMM-based projects. It is designed to simplify the setup process of...
Contributor: Paul Kühner
Multigrid methods shape the method of choice when a self containing family of triangulations of a FEM discretization is at hand to achieve an optimal...
Contributor: Muhammed Magdy
DeepForest is a library for training and deploying deep learning models for forestry tasks. The library is built on top of the PyTorch deep learning...
Contributor: Ioannis Sifnaios
Accurate modeling of cell temperature is essential for estimating the performance of PV systems. However, very few models exist for calculating cell...
Contributor: prady0t
Goal of this project is to improve PyBaMM's test suite by migrating from Unittest to Pytest. This would include but is not limited to : rewriting all...
Contributor: Gelieza Kötterheinrich
Algebraic multigrid (AMG) methods are one of the most popular techniques to solve systems of linear equations in structural mechanics. Parallel AMGs...
Contributor: Ronan Coutinho
The builder tooling of JupyterLab is directly integrated in the core codebase. This causes maintenance to become a burden for both core developers...
Contributor: Echedey Luis
This proposal aims to add a variety of scientific utilities to the pvlib python project that will focus on new models and research tools regarding...
Contributor: Abhinav Pratap Singh
NeuralPDE.jl is a high performance Julia package to solve differential equations using neural networks. This proposal aims to improve the sampling...
Contributor: Divya Tiwari
This project will implement and benchmark the Proximity Forest Algorithm for Time Series Classification in aeon. With the ever-increasing data, the...
Contributor: ragarwal00
The project aims to seamlessly integrate JAX's jit and auto-differentiation functionalities into QuTiP, a quantum computing simulation library,...
Contributor: saksham12321
Our project aims to enhance Taskflow's work-stealing scheduler by implementing a worker-specific notification module. This will provide finer control...
Contributor: Agriya Khetarpal
This project aims to enhance the documentation infrastructure for PyBaMM and consolidate all of it in one place, which includes but will not be...
Contributor: Ahmed Basem
AiiDA has a flexible plugin system that allows extending most aspects of the code. This project aims to add several functionalities to the AiiDA...
Contributor: arjxn-py
PyBaMM has a tedious installation process for development , which proves to be difficult for developers & researchers or anyone who wants to develop...
Contributor: Aryaman Jeendgar
Optimality conditions are a key aspect of mathematical optimization. The Karush-Kuhn-Tucker (KKT) conditions in particular are a really powerful...
Contributor: Asmit Malakannawar
The project aims to modernize the conda-forge website by redesigning the landing page and creating a style guide for other conda-forge’s web-based...
Contributor: ayeankit
Cookiecutter is a powerful command-line utility that generates project templates. Open science lab has developed a template that aims to provide the...
Contributor: Criston Hyett
I propose to implement a common interface to deploy the power of SciML to dynamical systems on graphs. In achieving this, one new package will be...
Contributor: Daniel_Saunders
This project would implement the Besag, York, Mollie (BYM) model in PyMC. BYM is a highly flexible model for studying spatial data and is used widely...
Contributor: GStechschulte
Bayesian modeling has increased significantly in academia and industry over the past years thanks to the development of high quality and user...
Contributor: Julian Evers
A very interesting and nice thing during the development of batteries are back-of-the-envelope estimations. An example might be to estimate an areal...
Contributor: Kavish Senthilkumar
NetworkX is a Python package offering a large set of algorithms and tools for the study and manipulation of graphs. Users have requested parallel...
Contributor: Lalit Chauhan
The project will involve the creation of a new package that will provide an interface to query for chemical species and enzymes using the PubChem...
Contributor: Om Khangaonkar
The C++ Standard Template Library (STL) provides many algorithms to sort, search, and perform a variety of operations on numerous data structures in...
Contributor: Qingyu Qu
Boundary value problems (BVPs) are mathematical models that arise in a variety of fields, such as economics and chemistry. BVPs are essentially...
Contributor: Ratnabali <devRD>
Matplotlib is a popular data visualization library that is used in multiple academic and industrial projects. LaTeX is a common tool for formatting...
Contributor: Rohan Babbar
Pylops has been developed to solve large-scale inverse problems. Keeping in mind the memory size of a single machine, there is a need to perform the...
Contributor: Rongbo Xu
For now spopt has implemented several basic facility location models, providing the free open source for researcher, or organizations to use....
Contributor: Sachin Jalan
CB Geo-Material Point Method is used to simulate particulate and fluid systems. In this method, particles are mapped to a background mesh, and...
Contributor: Sakshi Oza
PyDataStructs is a high-performance python package for data structures and algorithms providing C++ backend via Python C-API as well as a parallel...
Contributor: Satyam Sinha
The project aims to build a new function that populates the NEON field and remote sensing data for deepforest which will help us build a baseline...
Contributor: skyleaworlder
FluxML is a deep learning stack built in 100% Julia code, which aims to provide high-speed and light-weight abstraction of GPU, auto-differentiation...
Contributor: Trent F
Simulating quantum physics in QuTiP provides an excellent educational tool. However, using QuTiP requires writing Python code, which may present an...
Contributor: WilliamZijieZhang
(This project is for CVXPY) The performance of canonicalization procedures for optimization problems is an important metric for CVXPY users....
Contributor: Yuji Tamakoshi
QuTiP has a lot of visualization functions, but they are sometimes not user-friendly in that colors are unchangeable and arguments are not organized....
Contributor: Shivank Chaudhary
Each compression algorithm used by Zarr is assigned an identifier by the Numcodecs library. To make these identifiers useful in other programming...
Contributor: Nagesh Bansal
The National Ecological Observatory Network (NEON) collects and provides long-term, open-access ecological data. The NEON Data API provides access to...
Contributor: Shreyas Pradhan
qutip-qip currently does not perform optimisation and scheduling at gate-level in quantum circuits. Allowing circuits to be imported from qiskit will...
Contributor: yann
Projection predictive inference is a decision theoretic Bayesian approach that decouples model estimation from decision making. Given a reference...
Contributor: Aryaman Jeendgar
CVXPY is a Python-embedded modeling language for convex optimization problems. In this project, I aim to add support for new advancements in...
Contributor: abhishekbhatt
This project aims to develop interfaces for the SimpleChains.jl library for use with SciML packages, so that the former’s non-allocating and high...
Contributor: Gabriel Agostini
The study of urban morphology relies on clever abstractions of the built environment into computationally tractable models. One such model, the...
Contributor: Greg Maya
The project aims to fill the current gap in the creation of a baseline urban grid that allows for network analysis of the morphology of street...
Contributor: KunalGhosh
Gaussian Processes (GPs) are a flexible class of probabilistic models which can automatically fit quite complex functions. In addition, GPs provide a...
Contributor: Michele Castriotta
Electromagnetic devices have become ubiquitous in our lives due to their limitless applications. For designing and optimizing such devices,...
Contributor: Saksham Rastogi
Time Series models constitute an integral part of the machine learning stack. Time series tasks can span a wide range of tasks such as...
Contributor: xspronken
Quantum systems are very costly to simulate on a classical computer which can result in exceptionally long computation times. This projects aims to...
Contributor: Purna Chandra Mansingh
Several multivariate distributions in PyMC, such as MvNormal, MvStudentT, and others, are constrained to working with 2D inputs and do not function...
Contributor: Bowen Zhu
For simulating a system that contains many variables and/or equations, traditionally computational engineers tend to focus on utilizing an...
Contributor: VarLad
This project focuses on porting Plots recipes for SciML to Makie and adding to QuantumNLDiffEq.jl. Completion of the former would allow users to...
Contributor: S I Harini
ArviZ's purpose is to provide backend-agnostic tools for exploratory analysis of Bayesian models. To do so, we transform data from probabilistic...
Contributor: vikram-s-narayan
The purpose of this project is to improve Surrogates.jl by adding two new surrogate models - GEKPLS and GENN - and to make fixes and updates to...
Contributor: 5hv5hvnk
As the project title describes the main goal is to create a model class that builds, saves, loads, predict and fit user created models. This can be...
Contributor: Erin
Facility location modeling, a set of geoanalytic methods, is a critical problem solving tool leveraged in public and private sector decision making...
Contributor: Abhirath Anand
This project aims to improve the existing deep learning for computer vision ecosystem in Julia, especially by adding more models that users can use...
Contributor: Tyler Hoffman
For many users of statistical software, the most important aspect of a statistical software package is convenience. Therefore, it is important to...
Contributor: Prayas Jain
The aim of this project is to make the currently running forecasting system capable of parallelization. This is needed because the forecasting system...
Contributor: Konstantinos Petridis
Graph Isomorphism is an exciting topic regarding networks, but also a fairly complex problem to solve. The goal of the project is the full...
Contributor: Priyansh Jalan
The project would involve creating a pipeline from data acquisition to simulation to overlaying the visualisation in an extended reality (XR)...
Contributor: Vaibhav Chopra
This project aims to improve and populate the existing benchmark framework of PyBaMM. This will be achieved by - 1. Adding new benchmarks for...
Contributor: Leonardo D. Mariscal
Implement the “Modular Primitives for High-Performance Differentiable Rendering” paper in Julia, making use of JuliaGPU. Allowing us to compare the...
Contributor: Chandra Kiran Guntur
The aim is to build the textual portions of the FastAI.jl package, inspired by the fastai Python library, which will provide high-level components...
Contributor: Conor Hassan
Currently, exact inference for Gaussian processes within PyMC makes heavy use of Cholesky decompositions that have a cubic asymptotic time...
Contributor: Danh Phan
Multi-output Gaussian processes (MOGPs), a type of Bayesian nonparametric models, have recently gained strong attention from researchers, and become...
Contributor: Chris Stbl
QuTiP uses Jupyter Notebooks to demonstrate its functionality in the field of quantum physics and offers guidance to new users. While QuTiP is...
Contributor: Yilin
Arviz, which is designed to be a backend-agnostic tool for diagnostics and visualization of Bayesian inference in Python, has encountered a number of...
Contributor: Parth Bansal
A small benchmark suite already exists for CVXPY. The suite measures both the time to compile a problem into the solver standard form, and the time...
Contributor: Ansh Dassani
This project aims to make the model which would already be trained for the classification of species and detection of alive and dead, trees or birds...
Contributor: Xiong Zhicheng
This project is to add a layer of data abstraction on top of taskflow's original pipeline, so that users can either choose to prepare the data buffer...
Contributor: larryshamalama
In Bayesian statistics, one way to circumvent positing parametric assumptions is to use Dirichlet Processes (DP) as priors for probability...
Contributor: WDU
This project aims to implement the sequence space jacobian methods of Auclert et al. (2021) into the Heterogeneous Agents Resources and toolKit...
Contributor: Khushi Agrawal
The project aims to enhance the coverage of SciPy functions in CuPy. The stretch goal is to introduce interpolate module in CuPy. I'm excited about...
Contributor: Kaustubh Chaudhari
PyMC is currently developing the new PyMC3 4.x version. Core changes involve the use of the new RandomVariable class to simplify/speed up random...
Contributor: Ashutosh Bharambe
NeuralPDE.jl is a Julia package that employs neural networks to obtain a solution of high dimensional differential equations and hence overcoming the...
Contributor: Utkarsh Maheshwari
ArviZ is a Python package for exploratory analysis of Bayesian models, intending to provide backend-agnostic tools for diagnostics and visualizations...
Contributor: Lenka Hasova
Competing Destination (CD) models, which are an extension of Spatial Interaction (SI) models, has been around since 1980's and are often used...
Contributor: Cédric Dollet
My project is divided into three parts: What is the Space of Spectral Sensitivity Functions for Digital Color Cameras Implementation of new...
Contributor: Mohammed Jeeshan Sheikh
The SciML DiffEqOperators.jl library allows to solve PDEs by transforming them into ODEs via finite difference discretizations and carries support...
Contributor: Ping Zhang
GSoC Proposal: Multi-Start Optimization Methods
Contributor: Noah Bouchier
This project is focused on incorporating a multiscalar segregation metric into the Python Spatial Analysis Library (PySAL) toolset. Following on from...
Contributor: Saransh Chopra
This project aims to build an automated Twitter bot, using PyBaMM's wide range of abilities, that Generates battery degradation simulations with...
Contributor: Praveen Sahu
Scipy is the fundamental library in Python for scientific and technical computation. CuPy is currently supporting many functions provided by SciPy....
Contributor: Simardeep Singh Sethi
Equadratures is a powerful open-source library assisting the user to make the use of orthogonal polynomials for uncertainty quantification, machine...
Contributor: felipe bivort haiek
QuTiP's data layer provides the mathematical operations needed to work with quantum states and operators, i.e. Qobjs,. As part of Google Summer of...
Contributor: Germano dos Santos
The goal of this project is to develop a facility location modeling module that supports various distance measures and returns an optimal solution to...
Contributor: Khanh-Tung Nguyen-Ba
Under guidance from the mentors, the student will develop a suite of models for benchmarking Bayesian computation. That involves gathering...
Contributor: Gagandeep Singh
This project aims to add support for arrays and allocatables in LFortran. Specifically, features to be added for arrays are as follows, Declaring...
Contributor: Meenal Jhajharia
PyMC3 is a probabilistic programming language that uses Bayesian statistics to specify models and estimate unknown quantities. PyMC3 has about seven...
Contributor: Huzi Cheng
The fastly developing hyperparameter tuning framework Optuna has gained much attention in the machine learning community due to its high flexibility...
Contributor: Freyam Mehta
Dask's primary job is building task graphs and optimizing them before decorating the functions to operate lazily. Task graphs are a visual...
Contributor: Ilia Ilmer
The problem of identifiability is ubiquitous among experimental scientific research. The core idea is in one's ability to recover parameter values...
Contributor: Ninad Bhat
AiiDA currently has a REST API, built on the flask framework, to provide access to the provenance graphs in the database. The REST API is limited to...
Contributor: Aitik Gupta
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations, which has become a de-facto Python plotting...
Contributor: Purva Thakre
A known quantum gate can be decomposed into an already declared sequence of universal quantum gates in QuTip. If the desired decomposition is...
Contributor: Mohammad Hesam Shaelaie
This GSOC will add support for the solution of a much wider class of bilevel optimization problems to JuMP. Currently, support for bilevel...
Contributor: ricardoV94
PyMC3 provides state-of-the-art tools to specify rich mathematical probabilistic models and algorithms to efficiently approximate the posterior...
Contributor: Geetansh Saxena
Colour is an open-source python package providing a comprehensive number of algorithms and datasets for colour-science. It also has support for...
Contributor: Priyanshu_Agarwal
PyBaMM offers a way to compare new models by implementing models as expression trees that can be specified independently of the user's preference....
Contributor: Pau Riera i Portillo
This project aims to integrate the Makie plotting ecosystem for the Julia programming language within the library Gridap, used to approximate partial...
Contributor: Vadim Abzalov
NetworkX has a wide variety of algorithms implemented. Although the algorithms are well documented, explanations of the ideas behind the algorithms...
Contributor: Asier Galicia
Qutip is a python package that presents a comprehensive toolbox to simulate the dynamics of open quantum systems. Its core class is Qobj and it is...
Contributor: Adam R. Jensen
Solar resource data is fundamental to designing and assessing solar energy systems, however, accessing such data is often a complex and...
Contributor: Dimitris Papageorgiou
NetworkX is a Python library used for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. One very...
Contributor: Matt Schwennesen
This project seems to implement the asymmetric traveling salesman problem developed by Asadpour et al, originally published in 2010 and revised in...
Contributor: Ahmed-1
In this project we are trying to provide a High-level API for the Deep Learning engineers and researchers to help them train their models faster, and...
Contributor: Tomas Capretto
This project aims to work on two related problems. On one hand, I would like to implement new family of generalized linear models, such as beta...
Contributor: Aakash Chaudhary
The Data Retriever is a package manager for publicly accessible data. The Data retriever automatically finds, downloads, and pre-processes publicly...
Contributor: Rishabh Sanjay
ArviZ is a python package for exploratory analysis of Bayesian models. It is designed as a backend agnostic tool and supports different backends for...
Contributor: tastatham
Geopandas is one of the most popular Python projects for handling geographic problems and data. Whilst Geopandas is useful for handling small data...
Contributor: Larry Dong
Bayesian nonparametric (BNP) methods offer more modelling flexibility by relaxing parametric assumptions at the cost of more daunting theoretical...
Contributor: Harshal Dupare
There are many algorithms implemented in NetworkX some of them being simple and some of them being very complex. Understanding the algorithm that we...
Contributor: Vasily Ilin
Jump processes are a fundamental component in stochastic models throughout engineering, medicine and the sciences. DiffEqJump is a part of SciML,...
Contributor: Arpan Parikh
PyTorch-Ignite is a great library built on top of pytorch. It provides an extremely simple engine and event system to work with, which work really...
Contributor: Kush Kothari
A major requirement for the current status of the dashboard is the implementation of a download and install pipeline for tables having spatial data...
Contributor: Neel
Real-world data generating processes often don't produce normally-distributed data, in particular the skewness/kurtosis/tail index parameters are...
Contributor: Balaje
The project aims to implement a fast finite element interpolation algorithm in Gridap.jl for any two functions belonging to finite element spaces...
Contributor: Frank Schäfer
DiffEqSensitivity.jl is a Julia package within the SciML ecosystem for computing (adjoint) sensitivities for various kinds of differential equations...
Contributor: Agustina Arroyuelo
This Google Summer of Code 2020 project aims to increase support for circular and discrete variables in the ArviZ library. ArviZ currently provides...
Contributor: AkshaySharma
Differentiable optimization is a promising field of convex optimization and has many potential applications in game theory, control theory and...
Contributor: Piyush Gautam
ArviZ is a Python package for exploratory analysis of Bayesian models, intending to provide backend-agnostic tools for diagnostics and visualizations...
Contributor: Raman Tehlan
This project aims to support reproducible computing using nteract and Binder—the ability to start an interactive session via a unique URL, with...
Contributor: Sidharth Bansal-1
This is a proposal to help with the difficulty in adding/modifying tests which require a baseline image. The idea is to actually not store baseline...
Contributor: AshishPriyadarshi
The Data Retriever is a package manager for data. The Data retriever automatically finds, downloads and pre-processes publicly available datasets and...
Contributor: Jason Yu
aiida-core uses plumpy as its workflow backend and uses circus to daemonize its workflow manager process. However, the plumpy workflow library, and...
Contributor: Sayam Kumar
Variational Inference is a powerful algorithm that turns the task of computing the posterior(p(z|x)) into an optimization problem. This project is...
Contributor: Omar Wagih
Colour, an affiliated project of NumFOCUS, a 501(c)(3) nonprofit in the United States currently uses NumPy for most of its calculations, while NumPy...
Contributor: Asad
Proposal to add machine learning modules in QuTiP
Contributor: Vishav Sharma
Signac is a data management framework named after the painter Paul Signac, whose colourful pointillist style resembles a collection of data "points"....
Contributor: Alan Lujan
Initial GPU support for HARK models
Contributor: Paweł Redman
Traditional rendering is based on the idea that light can be decomposed into three basic components: red, green and blue (RGB). In some areas this is...
Contributor: Barney Hill
Effective Quadratures is an open source library used to generate polynomials for parametric computational studies. Among the applications of the...
Contributor: Sidhant Saraogi
The primary motivation of the project is to enhance quantum circuit (qutip.qip.circuit) and noise simulation capabilities of the QuTIP package. By...
Contributor: Mragank Shekhar
PySAL was designed with the focus of performing vector-based spatial analysis and therefore it didn't have tools to handle input-output of large...
Contributor: Tirth Patel
My goal for GSoC 2020 is to implement, test, and maintain a higher-level API for Gaussian Processes in PyMC4 using TensorFlow and TensorFlow...
Contributor: Paul Blum
Combustion has enabled our technologies in electricity production, heating, transportation, and industry. Advancements in combustion technologies...
Contributor: Jeffery Sauer
The goal of this project is to add several recently developed spatial estimators to the exploratory spatial data analysis (esda) submodule of PySAL,...
Contributor: Rasul Karimov
The project is to add more comprehensive support for mcmc sampler methods in PyMC4. Currently there is no support for discrete distributions in...
Contributor: Hardik Ojha
This project enhances the workflow system of the signac framework by allowing the users to aggreagate over group(s) of jobs.
Contributor: Tomás Gutierrez
The idea is to update ParameterJuMP.jl to enable users to add parameters to JuMP arithmetics in linear mode. By doing so, users will be able to...
Contributor: Dahlia Shehata
Implementing the polynomial set of NumPy functions that are not yet supported in CuPy with a better performance and speedup. These functions are...
Contributor: Jake Lishman
The core Qobj class in QuTiP specifically uses a custom scipy-derived sparse-matrix format for data storage, which allows simulation and...
Contributor: Vinicius Cerutti
Conda-forge, an umbrella project of NumFOCUS, is a community effort that provides conda packages for a wide range of software. As an important part...
Contributor: Rohit Sanjay
testbook is a unit testing framework extension for testing code in Jupyter Notebooks. Previous attempts at unit testing notebooks involved writing...
Contributor: Pablo Estrada C
This project aims to extend the functionality of pysal.spreg to deal with panel data econometric models. Spatial panels refer to data containing time...
Contributor: Nishant Joywardhan
The lookup table (LUT) is supported by Colour-Science fairly well. However, there are several improvements which can be made to its input and output...
Contributor: Apoorva Pandey
The Data Retriever is a package manager for data. It downloads, cleans, and stores publicly available data, so that analysts spend less time cleaning...
Contributor: Saumya Biswas
The following functionality is aimed at: Choice of Model (lattice dimensionality, Boson/Fermion, Hubbard, XXZ, Boundary conditions etc.)....
Contributor: Oriol Abril Pla
ArviZ is a Python package for exploratory analysis of Bayesian models, from diagnostics to visualization. It is designed as a backend-agnostic tool...
Contributor: Juan Martín Loyola
Bayesian Additive Regression Trees (BART) is a Bayesian nonparametric approach to estimating functions using regression trees. A BART model consist...
Contributor: Boxi Li
QuTiP is best known for solving open quantum system dynamics. At the same time, it also has a Quantum Information Processing (QIP) submodule...
Contributor: Ivan Yashchuk
ChainerX is a versatile ndarray implementation with special support of deep learning-specific operations. Therefore, it is important to support many...
Contributor: Demetri Pananos
Parameter estimation and uncertainty propagation are salient aspects of applied dynamical systems of practical interest. Both parameter estimation...
Contributor: harshitbansal05
The Data Retriever is a package manager for data. The Data Retriever automatically finds, downloads and pre-processes publicly available datasets and...
Contributor: Naresh Bachwani
YellowBricks is an open source python data visualization library aiding both exploratory data analysis and machine learning tasks. As my Google...
Contributor: Ninad Bhat
Molecular simulations are predominantly ran under periodic boundary conditions, i.e., upon leaving one face of the simulation volume, you re-enter in...
Contributor: Aniket Didolkar
In this project, I propose to add Recurrent Neural Networks to ChainerX. RNNs are a very integral part of deep learning research. ChainerX is faster...
Contributor: Piyush Raikwar
NumPy is the fundamental and most widely used library in Python for scientific computation. But it is executed over CPU only. So, we have CuPy with...
Contributor: Abhinav Gupta
Finite element methods require a discretization of a domain into small elements, called a mesh. Typically, users of DOLFIN use an external mesh...
Contributor: Joseph Willard
The pymc project is an open source collaboration that focuses on providing Bayesian modeling as well as probabilistic machine learning. The current...
Contributor: Rishav Chourasia
Elichika and ch2o are python to ONNX experimental compilers for Chainer ML framework (Elichika would eventually replace ch2o). Given a Chainer model,...
Contributor: Arpit Bhatia
Ecosystem issues such as improvements to tutorials and examples are an important milestone on the road map to JuMP 1.0. This project aims to improve...
Contributor: Aniruddha Banerjea
Numba is a JIT(just in time) compiler that compiles a given section of the code(specified by the user) at a given time instead of compiling the...
Contributor: Guilherme Bodin
We will implement a MathOptInterface feature that allows JuMP to take an optimization problem in its primal form and return the dual form in terms of...
Contributor: Igor Almeida Baratta
One of the main ingredients in DOLFIN’s native support of parallel computations is the mesh partitioner. The mesh partitioner seeks to ensure a load...
Contributor: Eeshan Gupta
Interval arithmetic provides a way to perform computations with continuous sets of real numbers or vectors, for example to bound the range of a...
Contributor: Pietro Vertechi
We will combine the JuliaDB.jl package, for tabular data manipulations in Julia, with WebIO.jl and InteractNext.jl to build a user-friendly web-based...
Contributor: Matthew C. Kelley
Details of deep learning models and their performance are, unfortunately, often published without accompanying implementation code. Those models that...
Contributor: Avik Pal
Currently, FluxML/model-zoo has very few examples demonstrating the usage of Flux. In this project, I propose to implement several Convolutional...
Contributor: Ashley Kelly
yt is a package for analyzing and visualizing volumetric data. The current infrastructure of yt is designed to deal with adaptive mesh refinement...
Contributor: Justin Calamari
Conda-forge is a collection of recipes, build infrastructure, and distributions for the conda package manager that makes it easy for developers to...
Contributor: Lauri Nyman
The aim of this project is to implement eigenvalue problem solvers for sparse matrices in Julia in order to reduce the dependency of Julia language...
Contributor: Sean Innes
This project would bring the mathematical prowess of Julia to the web with the near native performance of WebAssembly. The expected outcome of this...
Contributor: Sharan Yalburgi
PyMC3 is based on Theano, and uses it for creating and computing the graph that comprises the probabilistic model. Given the discontinuation of...
Contributor: Yingbo Ma
Stiff ordinary differential equations (ODEs) and differential algebraic equations (DAEs) with high index number are problems present in physical...
Contributor: Shubham Shukla
Shogun Machine Learning Toolbox aims at offering a wide range of efficient and unified machine learning algorithms with great accessibility. In this...
Contributor: Mikhail Vaganov
A large number of interacting bodies is the key component in explanation of many physical phenomena. From the gravitational interaction of stars and...
Contributor: Apoorva Pandey
Data retriever provides a number of publicly available datasets. These datasets are not stored at a single location but are downloaded from various...
Contributor: Abhishek Singh
This project focuses to improve yt's test framework. At present, yt's Python code coverage is only 25% (unit and answer testing) and the test runtime...
Contributor: Aneesh Yogesh Joshi
Reseachers and Industry experts alike turn to gensim for easy-to-pick up and production ready code. Recently, Deep Learning techniques have taken the...
Contributor: Anthony Wang
Makie.jl is a new plotting library for Julia, providing an interface for GLVisualize, with emphasis on interactivity and speed. The current...
Contributor: Pranita Sharma
Augment R API for Data Retriever with a versatile install function, robust Python detection and visualization widgets.
Contributor: Igor Baratta
In many fields of science and engineering (such as electrodynamics, acoustics, and quantum mechanics), the partial differential equations (PDEs) can...
Contributor: Xingjian Guo
Exponential integrators have received a lot of attention in recent years as a viable alternative to implicit schemes for stiff systems. In...
Contributor: Ayush Suhane
With the capability of multiple MD codes to easily handle milions of atoms, a major roadblock to analysis of this vast amount of data corresponding...
Contributor: Agustina Arroyuelo
Module for Approximate Bayesian Computation Approximate Bayesian Computation (ABC) algorithms, also called likelihood free inference techniques, are...
Contributor: Yuanjie Jiang
In this proposal, the governing equations and boundary conditions of the plug flow reactor with surface chemistry are discussed (Details see Section...
Contributor: Sebastian Pfitzner
Julia is capable of delivering very good performance (in many cases on par with optimized C), but some of the concepts that enable this performance...
Contributor: Ayush Shridhar
In the upcoming summers, I aim to achieve six objectives in three different fields. These are: 1. Model Import : I plan on making a reader for...
Contributor: Benjamin Chu
Recent advances in molecular biotechnologies demand fast and innovative algorithms to analyze them effectively. One promising proximal-type algorithm...
Contributor: Wuwei Lin
Shogun is a powerful machine learning toolkit. The project has a long history and a huge codebase. Some parts are very outdated and not...
Contributor: Bill Engels
This main focus of this project will be to extend the functionality of the PyMC3 Gaussian process module. I plan to focus my contribution on...
Contributor: Tejan Karmali
I propose to add a wide variety of models in the model zoo of Flux. Currently, the model zoo lacks the latest architectures and algorithms in...
Contributor: Vaibhav Dixit
A differential equation model of a dynamical system is a nonlinear parameterized model that is created to match realistic scenarios and occasionally...
Contributor: Neethu Mariya Joy
FluxJS is a tool to export Flux models to javascript using deeplearn.js. Since Flux is a new library, it is essential to have lots of examples...
Contributor: Yiannis Simillides
We continue work done on a FEniCS wrapper in Julia. We further optimize it, and add more functionality, so users can access a richer API, and solve...
Contributor: Fabian Löschner
In the solution process of problems discretized using FEM, the assembly of element level tensors to the global matrix often contributes a significant...
Contributor: Shubham Maddhashiya
I propose to implement Variable Step Size Multistep Methods, Variable Order Variable Step Size Multistep Methods, IMEX Multistep Methods and IMEX...
Contributor: Davide Cruz
Implement trajectory transformations on the MDAnalysis API, to be called on-the-fly by the user, eliminating the requirement for multiple...
Contributor: Arijit Kar
Object tracking is the process of locating a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which...
Contributor: Dmitry Persiyanov
Gensim is an NLP library which claims to be highly effective during training and produce linear performance growth with increasing the number of...
Contributor: Mohamed Mohamed
In this project, I will implement the locally optimal block preconditioned conjugate gradient (LOBPCG) algorithm for finding extremal generalized...
Contributor: Jiawei Li
Improvements for JuliaNLSolvers could be made in three parts: documentation, benchmarks and functionality. Currently, LsqFit.jl, and NLsolve.jl only...
Contributor: Aditya Puranik
A package which uses the Minecraft Pi API and corresponding mod for Java version to build cool stuff. Accompanied with documentation and tutorials to...
Contributor: Soham Tamba
LightGraphs is a Julia package that implements several commonly used graph algorithms. The objective of the package is to provide the functionality...
Contributor: katiec1029
Serialization is the process in which a data structure or object is translated and stored in the format of a file compatible in memory then...
Contributor: Michal Habera
XDMF is a file format which is designed for very large simulation datasets. The main file is XML, but there is provision for the "heavy data" to be...
Contributor: Harshit Patni
All of the color mapping in Matplotlib is currently derived fromScalerMappable which as the name suggests maps scalers from R^1 ->R^4 RGBA color...
Contributor: Ivan Yashchuk
One of the first steps in the finite element method (FEM) is splitting the domain on which the partial differential equation (PDE) is solved into...
Contributor: Shivam Negi
Data Retriever automates the tasks of finding, downloading, and cleaning up publicly available data, and then stores them in a local database or as...
Contributor: Chinmaya Pancholi
Gensim[1] is a topic-modeling package in Python for unsupervised learning. This implies that to be able to usefully apply it to a real business...
Contributor: Parul Sethi
Knowing about the progress and performance of a model, as we train them, could be very helpful in understanding it’s learning process and makes it...
Contributor: Utkarsh Bansal
Testing is crucial to the development of any software and MDAnalysis currently uses nose to test their code. Unfortunately, nose is no longer under...
Contributor: Maxim Kochurov
Variational inference is a great approach for doing really complex, often intractable Bayesian inference in approximate form. Common methods (e.g....
Contributor: Bill Engels
PyMC3 contains a rich suite of building blocks for probabilistic modeling and inference. This proposal contains two parts: first is finishing...
Contributor: Chris Medrela
Software Carpentry (SWC) has a workflow for Instructor Trainings. Currently, it uses Etherpads and Google Docs spreadsheets, which slows down SWC...
Contributor: ramcha24
Pre-solving is the process of detecting redundancies in an optimization problem and removing them so that the problems that are fed to solvers are...
Contributor: pkofod
The purpose of this GSoC project is to work on a variety of loose ends in, and general improvements to, the optimization package Optim.jl. Optim.jl...
Contributor: story645
While matplotlib 1.5 added direct support for plotting data frames, there are still a few related tasks yet to be done. An important one is...
Contributor: Prerit Garg
Software Carpentry has been teaching researchers in science, engineering, medicine, and related disciplines the computing skills they need to get...
Contributor: goelakash
One of the ways the Retriever makes it easy to add new datasets is by allowing datasets to be added using simple plain text descriptions of the data...
Contributor: bhargavvader
Dynamic Topic Models are used to model the evolution of topics in a corpus, over time. The Dynamic Topic Model is part of a class of probabilistic...
