Extending NextLA.jl with Portable Tile Low-Rank Kernels
Contributor: alecarraro
This project aims to extend the Julia linear algebra ecosystem by developing vendor-agnostic GPU kernels in NextLA.jl for large-scale structured...
A fresh approach to technical computing
Contributor: alecarraro
This project aims to extend the Julia linear algebra ecosystem by developing vendor-agnostic GPU kernels in NextLA.jl for large-scale structured...
Contributor: Anvika Singhal
KomaMRI.jl is a high-performance Julia package for MRI simulation and differentiable workflows, but its use is currently limited to the Julia...
Contributor: Bhavya-QuantDeveloper
Julia's medical imaging stack currently relies on 3D U-Net variants for segmentation, which lose spatial relationships through max-pooling. This...
Contributor: Kareem Fareed
Advanced magnetic resonance imaging techniques, such as RF pulse optimization, increasingly rely on complex, high-performance physical simulations...
Contributor: Param Thakkar
This project addresses the challenge of unreliable LLM outputs in complex health informatics workflows by building a domain-grounded...
Contributor: Parv Mittal
Graph Neural Networks (GNNs) rely on message passing, traditionally implemented via a gather/scatter mechanism. In GraphNeuralNetworks.jl, this...
Contributor: Rohan101
This project aims to develop a Julia module for simulating and optimizing Bell distillation circuits, addressing the challenge of selecting efficient...
Contributor: Shahu Karale
My main goal this summer is to make Adaptive Mesh Refinement (AMR) fast and efficient for P4estMesh on GPUs within Trixi.jl. Right now, whenever the...
Contributor: Shravanpuri Goswami
This project develops agent-accessible CLI tooling for the Julia Bayesian ecosystem, delivering three main components: DoodlePPL CLI for model...
Contributor: Shreyas Hegde
The Julia GPU ecosystem allows users to write array programs that run seamlessly across NVIDIA, AMD, and Intel GPUs. This functional portability...
Contributor: Siva Sathyaseelan
Classical force fields in molecular dynamics are fast but cannot capture bond breaking, charge transfer, or complex many-body chemistry. Machine...
Contributor: Victor Camara
Dagger.jl currently serializes all GPU tasks onto a single stream per device, leaving independent DAG branches unable to run concurrently and GPU...
Contributor: alecarraro
This project aims to extend the existing capabilities of ReachabilityAnalysis.jl with a new state-of-the-art algorithm for reachability analysis,...
Contributor: christiangnrd
The state of Julia GPU support ranges from “very good” (CUDA.jl) to “on the way” (Metal.jl). Recently, the shared high-level interface GPUArrays.jl...
Contributor: Davide Ferre'
Graph Neural Networks (GNNs) are powerful tools for processing graph-structured data, with applications spanning social networks, recommendation...
Contributor: Divyansh-Goyal
This project extends the capabilities of the MedEye3D framework by developing an advanced visualization tool for supervoxel-based comparison across...
Contributor: giorgio bertone
The proposal aims to integrate the Julia package Agents.jl (for agent-based modeling) with ReinforcementLearning.jl or Crux.jl, enabling intelligent...
Contributor: Kanyang Ying
QuantumClifford.jl enables efficient simulation of Clifford circuits acting on stabilizer states using the (de)stabilizer formalism, with complexity...
Contributor: Kosuri Lakshmi Indu
This project focused on making patient-level prediction (PLP) more practical within the JuliaHealth ecosystem by building some of the missing...
Contributor: lch
This project proposes adding new features to Rimu.jl --- a Julia package that implements a random integrator for many-body quantum systems ---...
Contributor: Mateus Maia
The main goal of this project is to develop the R interface for JuliaBUGS, enabling a broader range of users already familiar with these languages to...
Contributor: Mohd Rahban Ghani
This project aims to significantly enhance the search experience within documentation generated by Documenter.jl. The current client-side search...
Contributor: Shravanpuri Goswami
JuliaBUGS is a modern Julia implementation of the classic Bayesian Inference using Gibbs Sampling — BUGS language for Bayesian modeling, combining...
Contributor: Yan Guimarães
This project extends Dagger.jl with an MPI-based backend, allowing it to scale more effectively on high-performance computing (HPC) clusters that use...
Contributor: Yuchi Yamaguchi
The Language Server Protocol (LSP) is a communication protocol between editors and analysis engines. Many major editors support this protocol, making...
Contributor: Shreyas Agrawal
Traditionally if a user asks a question to an LLM about a package then, the response might be incorrect, or outdated. The project "Supercharging the...
Contributor: Xuanzhao Gao
This project aims to further enhance the performance and usability of tensor network tools in Julia. There are three main goals of the project: 1)...
Contributor: Junyi Xu
Trixi.jl is a numerical simulation framework for conservation laws written in Julia. The integration of Trixi.jl with Compiler-Based (LLVM level)...
Contributor: Davide Ferretti
This project is aimed at advancing the capabilities of heterogeneous computing environments in Julia through Dagger.jl. We propose to implement a...
Contributor: Siddhant Chaudhary
This projects aims to bring the well known ColBERTv2.0 information retrieval system to Julia! In this project, we aim to implement various components...
Contributor: JanZubik
MedPipe3D is a Julia package that enables working on GPU-accelerated medical image segmentation. MedPipe3D aims to merge MedEye3D, MedEval3D, and...
Contributor: Jay Sanjay Landge
As a part of this project, I will be working with JuliaHealth to develop the OMOPCDMPathways package for health and medical data analysis. The...
Contributor: Divyansh Goyal
MedEye3D.jl aims to enhance medical imaging visualization within the Julia language ecosystem. The current proposal addresses the need for improved...
Contributor: Niklas Heim
Most scientific and engineering applications heavily depend on floating point arithmetic. Floating point numbers only approximate the real numbers,...
Contributor: Yuxuan Yan
QuantumClifford.jl provides a basic functionality for quantum error correction. Yet, some important classes of QECCs and their decoders remain to be...
Contributor: Yassin ElBedwihy
Currently, Symbolics.jl has a Groebner basis implementation which is able to convert a myriad of symbolic expressions into multi-variate polynomials....
Contributor: PraneethJain
The CxxWrap.jl package acts as a bridge between Julia and compiled C++ code, resulting in developers being able to use the best of both languages....
Contributor: Pasquale Caterino
ConformalPrediction.jl is a package for Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in...
Contributor: Ryan Kierulf
KomaMRI.jl is a Julia package for Magnetic Resonance Imaging (MRI) simulation focused on speed and extensibility. Like other MRI simulators, it...
Contributor: Michela Rocchetti
IPUMS is the “world’s largest available individual database of census microdata”, providing survey data and census records from across the world....
Contributor: Essam Wisam
Bring the most recent classical and deep learning methods for categorical encoding to Julia to better support the presence of categorical variables...
Contributor: Jonas Koziorek
The main objective of my proposal is to implement better tools for detection of periodic orbits of dynamical systems. My task will be to implement...
Contributor: JasonPekos
Benchmarking sampler implementations for Bayesian inference is hard — the algorithms are inherently stochastic, and often produce only Monte Carlo...
Contributor: Agata
Ever-growing size of social interactions, especially via on-line channels, creates a need for processing big datasets in an efficient way. Thanks to...
Contributor: Abdulaziz Hamid
This project aims to implement the necessary infrastructure for the Discontinuous Galerkin method in the finite element toolbox Ferrite.jl. This will...
Contributor: Aurora Rossi
The purpose of this project is to add Temporal Graph Neural Networks (TGNNs) to GraphNeuralNetworks.jl. The first part of the project will be...
Contributor: Essam Wisam
The objective of this project is to implement a class imbalance package in Julia with algorithms to correct for class imbalance. The package is...
Contributor: Fareeda Abdelazeez
Working with the OMOP CDM (Observational Medical Outcomes Partnership Common Data Model) involves handling large datasets that require a set of tools...
Contributor: Felipe Tomé
This proposal intends to implement a distributed array for the Dagger.jl package, loosely inspired on DistributedArrays.jl and improving on the...
Contributor: Hetarth Shah
The goal of this project is to improve the user experience of search functionality provided by Documenter.jl by building an intelligent search system...
Contributor: Huiyu Xie
GPU computing provides substantial performance gains over CPU-based methods for computationally demanding tasks. Trixi.jl, a Julia numerical...
Contributor: Jose Esparza
MLFlowClient.jl lacks of updates regarding new features coming from the original Python package. Some effort is needed to ensure new version methods....
Contributor: mjachi
TopOpt.jl currently supports only linear elastic type problems (meaning a limited set of physics), but, naturally, several other sorts of topology...
Contributor: Nadia Enhaili
Survey.jl is a Julia package for survey analysis inspired by the R package 'survey'. It aims to address the unique challenges associated with the...
Contributor: Samuel Belko
The main task of this project is to implement a modern Bayesian optimization method TuRBO in Julia, extending BayesianOptimization.jl package. The...
Contributor: Shayan Pardis
QuantumClifford.jl is a package designed for simulating Quantum Clifford circuits, circuits that consist of Clifford gates. QuantumClifford.jl can be...
Contributor: Stefan Vayl
The main aim of this project is to expand the capabilities of Attractors.jl. We are specifically targeting three features, which are the Minimal...
Contributor: Zuheng (David) Xu
We propose to create a modular and composable library for variational inference and normalizing flow methods that emphasizes GPU compatibility and...
Contributor: Soumitra Shewale
The Julia REPL and notebooks like Jupyter Notebooks, Pluto.jl both have shortcomings, especially when considering Julia's data science work. For...
Contributor: Iulia Dumitru
This project adds a new package to JuliaStats, covering complex survey analysis. The package is inspired by the `survey` package in R. Specifically,...
Contributor: John George Francis
My proposal is to bring in core changes to Javis' Object - Action mechanism for making animations . As of now Javis does not store drawing...
Contributor: Xianda Sun
This project aims to build a Julia package for probabilistic modeling based on static directed graphs. Specifically, we want to enable users to...
Contributor: Dhruv Tiwari
Problem: Installing Julia, opening a terminal, running Julia REPL, then opening the package manager, adding Pluto package, running Pluto, and then...
Contributor: MatthewBaggins
The David-Skene algorithms are a family of computational methods for aggregating crowdsourced annotations of data in order to obtain the true labels...
Contributor: Atharv Sonwane
FlashFill is a program synthesis framework for generating string-processing programs from input-output examples. This project aims to implement...
Contributor: Guillaume Vigne
Density functional theory (DFT) is an established method to compute the electronic structure of matter, with applications ranging from the...
Contributor: Sergio A. Vargas
Pluto uses the Distributed module (part of Julia's stdlib) to create worker processes and to send Julia data structures between them. These worker...
Contributor: Deeptendu Santra
The main points of my proposal are as follows: 1. Add more and more datasets: To enrich MLDatasets.jl with relevant Graph Datasets. 2. Build a tight...
Contributor: Luca Ferranti
Reachability analysis deals with uncertainty propagation in dynamical systems. Given an initial set, modeling the uncertainty on the initial state,...
Contributor: Guillaume THOMAS
In March 2016, AlphaGo became the first computer Go program to beat one of the best go players in the world. But Deepmind didn’t stop there and kept...
Contributor: Jaydev Singh Rao
Molly.jl is a package in pure Julia for simulating molecules and physical systems in general using method known as Molecular Dynamics (MD). This...
Contributor: Siddhant Chaudhary
Overall, the proposal is about adding a few missing features in the package, like addition of new models, some metaprogramming, lazy evaluation,...
Contributor: BlankBuffer
Implementation of algebraic simplification to reduce expression to canonical form. Low level rules are be hard coded for improved performance and...
Contributor: Maria Gragera Garces
The hardware necessary to build networks, sensors and computers of quantum nature is at its infancy. Potential quantum memories, repeaters, and...
Contributor: Ashwani Rathee
JuliaImages takes support from JuliaIO to provide encode and decode methods of various image formats. The focus of this project is to add IO support...
Contributor: Petr Vana
Time to First Plot (TTFP) is one of the most disliked things about Julia language because it takes from seconds to minutes to produce the first...
Contributor: Manan Bordia
Implement methods to find roots for symbolic polynomial systems. This involves providing analytical solution for polynomials of degree less than or...
Contributor: Huu Long Nguyen
Machine learning models have demonstrably achieved significant success in data classification and prediction across innumerable industries and...
Contributor: Michał Łukomski
The goal of this project is to implement the MuZero algorithm in Julia, with the following expected benefits: attract people from the model-based RL...
Contributor: William Kimmerer
Graphs are a ubiquitous and versatile data structure, which allow the representation of problems and systems across a vast array of domains like...
Contributor: Archana Warrier
Machine learning models are being used to assess loan and job applications, in bail, sentencing and parole decisions, and in an increasing number of...
Contributor: Adarsh Kumar
While pre-trained language models like GPT-2 provided with Transformers.jl can generate coherent text, controlling and steering of text towards the...
Contributor: Vasanth Mani Vasi
The field of deep learning has had numerous impressive advancements over the last few years. Music generation has always been a difficult application...
Contributor: Elias Little
Adding security features to the What You See Is What You REST addition to Pluto notebooks, and creating simple methods to deploy notebooks as REST...
Contributor: leachim
I would like to extend and update Turing’s documentation and include novel examples that show how to best use Turing’s capabilities in an applied...
Contributor: Arsh Sharma-1
Javis.jl is a graphical animation/visualization package for the Julia Language which fetches motivation from Grant Sanderson's Python based animation...
Contributor: Anant Thazhemadam
Virtually all properties of interest arise from electronic interactions between the atoms of a crystal. The work I propose aims to develop a...
Contributor: Luca Ferranti
The goal of this project is to implement the IntervalLinearAlgebra.jl package within the JuliaIntervals organisation and have the first release at...
Contributor: Paulina Martin
In the last decades, Bayesian statistics has gained ground in the modelling of phenomena. Despite its advantages, to implement a Bayesian framework...
Contributor: Niklas Schmitz
Density functional theory (DFT) is a key driving force in modern quantum chemistry, with applications ranging from materials science to drug...
Contributor: Ross Viljoen
Gaussian processes (GPs) are flexible probabilistic models with a wide a variety of applications. However, in their simplest form they scale...
Contributor: Aayush Sabharwal
Agent-based models (ABMs) are simulations in which autonomous entities (known as agents) react to their environment (which includes other agents)...
Contributor: Siddharth Bhatia
Environments are a crucial component of reinforcement learning (RL). Grid worlds are a broad class of tile-based games that are easy to create, and...
Contributor: Xuanda Yang
Escape analysis is a classic problem in compiler analysis. Julia compiler has an existing AbstractInterpreter framework for managing inter-procedural...
Contributor: Manikya Bardhan
Aim is to build all the portions of the FastAI.jl package, inspired by the fastai Python library, which will provide high-level components that can...
Contributor: Alessandro Cheli
Metatheory.jl is a general purpose metaprogramming and algebraic computation library for the Julia programming language, supporting the novel...
Contributor: Carol Mak
To realise the full potential of probabilistic programming languages (PPLs), it is essential to automate the inference of latent variables in the...
Contributor: MartinuzziFrancesco
A leap forward in the accuracy of forecasting problems in chaotic time series has been recently obtained using Echo State Networks (ESN). This is a...
Contributor: Frank Schäfer
DifferentialEquations is a Julia package for solving differential equations in a highly performant manner within an underlying unified user...
Contributor: Arthur Lui
Probabilistic models, which more naturally quantify uncertainty when compared to their deterministic counterparts, are often difficult and tedious to...
Contributor: Sharan Yalburgi
JuliaGaussianProcesses is an effort to build a robust Gaussian Processes framework in the Julia ecosystem. We would like to start off by adding the...
Contributor: Nirmal Praveen Suthar
Neural Networks (NN) is one of the most fundamental building blocks of modern Computer vision and it has found its relevance in multiple domains like...
Contributor: Chen Zhao
ZX-calculus is a graphical language that can characterize quantum circuits. It is a powerful tool that is usually used for quantum circuit...
Contributor: Koustav Chowdhury
The goal of this project would be to implement a fast open-addressed hash table inspired from Google’s flat_hash_map. In addition to this, I propose...
Contributor: Ludovico Bessi
Surrogate modeling has become a staple in large-scale scientific computing applications like aerospace and chemical engineering where full...
Contributor: Aadesh Deshmukh
The main goal of the project is to port capability from sktime (Machine learning for time series) to MLJ universe & develop data container to...
Contributor: Tejas Vaidhya
JuliaText is a JuliaLang organization that provides packages to work with text. The aim of this project is to enrich TextAnalysis.jl with Framework...
Contributor: Saranjeet Kaur Bhogal
Polychord is a nested sampling algorithm which is designed to sample from high-dimensional parameter spaces. Slice sampling is used at each iteration...
Contributor: Utkarsh .
DifferentialEquations.jl comprises of leading-edge methods for solving Differential Equations and an extensive benchmark suite written purely in...
Contributor: Uziel Linares
The Taylor Models are mathematical tools that enable the rigorous representation of functions by a polynomial expansion and a remainder that encloses...
Contributor: Ching-Wen Cheng
Bridge the gap between Python community and the Julia community for the state of the art natural language processing models.
Contributor: Kirill Zubov
Differential equations are widely used in any scientific field. A new method of solving differential equations using deep learning methods has great...
Contributor: Morten Piibeleht
Documentation, essential for any software project, needs to be as easy as possible to write and publish. For Julia packages, you can use the...
Contributor: Arda Akdemir
De-novo sequence assembly is the process of constructing a contiguous long sequence out of shorter sub-sequences produced by sequencing platforms,...
Contributor: Manjunath Bhat
The aim of this project is to enrich Flux Model Zoo with unsupervised deep learning models, in particular variants of Generative Adversarial...
Contributor: Abhinav Mehndiratta
This project aims to get the GraphBLAS API working from Julia by connecting it to the SuiteSparse GraphBLAS implementation and creating a graph type...
Contributor: Brandon Taylor
I want to write code to translate the syntax supported by Query.jl into SQL. Then, the queries can be sent to a variety of database softwares. I can...
Contributor: Deepesh Thakur
The DifferentialEquations.jl ecosystem has an extensive set of state-of-the-art methods for solving differential equations. By mixing native methods...
Contributor: Johnny Chen
This project aims to achieve a better ecosystem for Images.jl, an image-processing toolbox in Julia. Main contributions consist of user-friendly...
Contributor: SHREYAS KOWSHIK
Model zoo is a great compilation of deep learning and reinforcement learning algorithms. Currently state of the art baselines in terms of...
Contributor: Avik Pal
Differentiable Programming is a programming paradigm in which we can differentiate through the program itself. It allows us to exploit the knowledge...
Contributor: Ayushk4
JuliaText is the JuliaLang organization that provides with packages to work with text. It currently lacks support for basic problems like Named...
Contributor: Kanav Gupta
DifferentialEquations.jl is the state of the art differential equations solver that exists right now. Being written purely in Julia and having a huge...
Contributor: Andreas Peter
This project aims to improve the tooling for tensor network algorithms in julia and demonstrate advantages of julia - composability, performance,...
Contributor: Tejan Karmali
Julia language offers support for differentiable programming with the help of its AD. This projects leverages this to test differentiable programming...
Contributor: Shivin Srivastava
JuliaDiffEq is the most popular github organization for solving differential equations in Julia.Currently, it has an assorted collection of Ordinary...
Contributor: Zhang Shiwei
Flux.jl is a high-level neural network library in Julia, which has an intuitive API, easy to debug, and performant. One of the key features of...
Contributor: Yingbo Ma
This is a proposal for the project "Native Julia solvers for ordinary differential equations and algebraic differential equations". There is no...
Contributor: Harmen Stoppels
The IterativeSolvers.jl package is currently lacking some well-known iterative methods such as QMR and BiCGStab(l) for solving linear systems and...
Contributor: Jameson Quinn
General-purpose statistical modeling tools such as OpenBugs and Stan allow using easy-to-build modular likelihood models to fit models to data...
Contributor: Divyansh
Parallel Graph development I am interested in working on parallel graph algorithms and an efficient data structure to represent Graphs, which take...
Contributor: Tejus Gupta
I propose to Add a package for image segmentation as a part of JuliaImages with the following algorithms * Thresholding - Otsu’s method and...
Contributor: KrishnaKanhaiya
Differential equation models are widely used in many scientific fields that include engineering, physics and biomedical sciences. The so-called...
Contributor: Animesh Kashyap
Image Segmentation is described as one of the most important aspects of image processing. Image segmentation is the process of partitioning an image...
Contributor: Akshay Sharma
The purpose of this project is to develop a flexible library of NN solvers (NeuralNetDiffEq.jl) which are able to utilize parallelization, and plugs...
Contributor: Dorisz Albrecht
Likelihood-based methods have many appealing features, but they are difficult to use for models which do not have a closed-form, tractable likelihood...
Contributor: Joel Mason
Interactive data exploration is an increasingly important component of data science. Interact.jl and Escher.jl are good libraries that have the...
Contributor: Sarvjeet Ghotra
Implementation of mid-level features - specifically routing, load-balancing, cookie/session handling, and authentication.
Contributor: Sebastian Pfitzner
Juno as an IDE (and, since the introduction of JuliaPro, the quasi-standard IDE for Julia) has matured quite a bit during the last years, but the...
Contributor: Yiannis Simillides
We will create a wrapper for the FEniCS toolbox in Julia, using PyCall.jl , to allow Julia users direct access to the FEniCS functionality. This will...
Contributor: Kenta Sato (bicycle1885)
Support parallelism in Bio.jl based on Dagger.jl
Contributor: lopezm
This proposal consists of the design of an API for Iterative methods in Julia and the set up of benchmarks and a regression tracker.
Contributor: Matthias Reisinger
Julia is a dynamic programming language that, over the past few years, gained interest in the open-source community, especially in the field of...
Contributor: sunoru
The random number generator(RNG) of Julia needs updating to a more reliable one. I'm going to implement a package (may be named RNG.jl) providing...
Contributor: mronian
My Proposal is to develop a feature detection and extraction package for Julia, ImageFeatures.jl. Alongwith feature detection and extraction, I will...
Contributor: mortenpi
A big part of Julia is its package ecosystem and their documentation should be as thorough as possible and documenting packages should be made as...
Contributor: obiajulu
ODE.jl is an ever increasing store house of numerical solvers of ordinary differential equations. While many solvers are currently found in ODE.jl,...
Contributor: pranavtbhat
I hope to develop a package, ParallelGraphs, that enables the analysis and manipulation of massive graphs in a distributed environment. The package...
Contributor: KrishnaKanhaiya
Many problems in applied sciences are posed as convex optimization problems over the complex field such as MaxCut, Phase retrieval from sparse...
Contributor: mgtlake
A Julia program for completing interactive tutorials, being available in the REPL and in Juno (in it’s current form as a series of Atom plugins),...
Contributor: Wei Tang
This proposal is about implementing HTTP/2 for HTTPServer.jl and Requests.jl, as well as implementing a heuristic for Mux.jl for HTTP/2’s “server...