Traditionally if a user asks a question to an LLM about a package then, the response might be incorrect, or outdated.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...
Tensor network contraction order optimization and visualization
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)...
Integrating the Modern CFD Package Trixi.jl with Compiler-Based Auto-Diff via Enzyme.jl
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)...
Julia Dagger - Enhancing Streaming Data Processing for Heterogeneous Computing
Davide Ferretti
This project is aimed at advancing the capabilities of heterogeneous computing environments in Julia through Dagger.jl. We propose to implement a...
ColBERTv2.0: Efficient, late-interaction retrieval in Julia.
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...
Project 4: Adding dataset-wide functions and integrations of augmentations
JanZubik
MedPipe3D is a Julia package that enables working on GPU-accelerated medical image segmentation. MedPipe3D aims to merge MedEye3D, MedEval3D, and...
Developing Tooling for Observational Health Research in Julia
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...
Adding functionalities to medical imaging visualizations
Divyansh Goyal
MedEye3D.jl aims to enhance medical imaging visualization within the Julia language ecosystem. The current proposal addresses the need for improved...
OptiFloat.jl: Automatic Floating Point Expression Optimization in Pure Julia
Niklas Heim
Most scientific and engineering applications heavily depend on floating point arithmetic. Floating point numbers only approximate the real numbers,...
New quantum error-correcting codes and decoders for QuantumClifford.jl
Yuxuan Yan
QuantumClifford.jl provides a basic functionality for quantum error correction. Yet, some important classes of QECCs and their decoders remain to be...
Symbolic computation with Julia (Symbolics.jl): Symbolic Root finding
Yassin ElBedwihy
Currently, Symbolics.jl has a Groebner basis implementation which is able to convert a myriad of symbolic expressions into multi-variate polynomials....
Language Interoperability - CxxWrap.jl
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....
Add support for Conformal(ized) Bayes to ConformalPrediction.jl
Pasquale Caterino
ConformalPrediction.jl is a package for Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in...
Enhance KomaMRI.jl GPU Support
Ryan Kierulf
KomaMRI.jl is a Julia package for Magnetic Resonance Imaging (MRI) simulation focused on speed and extensibility. Like other MRI simulators, it...
Developing IPUMS.jl: A Pure Julia Interface to IPUMS for Health Research Applications and Beyond
Michela Rocchetti
IPUMS is the “world’s largest available individual database of census microdata”, providing survey data and census records from across the world....
Bringing state-of-the-art categorical variable encoding methods to Julia
Essam Wisam
Bring the most recent classical and deep learning methods for categorical encoding to Julia to better support the presence of categorical variables...
Algorithms and interface for detection of periodic orbits
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...
PosteriorDB Implementations for Turing.jl
JasonPekos
Benchmarking sampler implementations for Bayesian inference is hard — the algorithms are inherently stochastic, and often produce only Monte Carlo...
Graph Neural Networks - Training on very large graphs
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...