GSoC and JSoC 2020 Project List

5 May 2020 | Logan, Avik, and Chris

This summer, the Julia Language will be hosting students through GSoC and JSoC. You can read more about this by checking out our Discourse post. We are very excited to have 25 students working with us. Here are the projects they will be working on:

Display NameProject
Sharan YalburgiAdding GPML capabilities to JuliaGaussianProcesses
Arthur LuiBNP Benchmarks and Feature Comparisons for Turing and Other PPLs
Nirmal Praveen SutharDeep Learning for 3D Computer Vision
Alexander SeilerGeneral Improvements for LinearMaps.jl
Kirill ZubovGeneral partial differential equation solver using neural networks with ModelingToolkit interface
frankschaeHigh weak order stochastic differential equation solvers and their utility in neural stochastic differential equations
Koustav ChowdhuryImplementation of a hash table based on SwissTable and adding Trees.jl to JuliaCollections
MartinuzziFrancescoImplementation of a Reservoir Computing library for timeseries prediction
Tejas VaidhyaImplementing ALBERT in julia
Ludovico BessiImproving Surrogates.jl
Peter ChengLeveraging Hugging Face Transformers package in Julia
Aadesh DeshmukhMLJTime - Adding Time Series Support For MLJ
Utkarsh530Performance Enhancements and Optimizations for Differential Equation solvers
Saranjeet Kaur BhogalPolychord Nested Sampling Algorithm Building and Integration with Turing in Julia
Uziel LinaresTaylor models and a guaranteed ODE solver
Chen ZhaoZX.jl: ZX-calculus for Julia
Arsh SharmaA Geospatial Data handling package for Julia
Krish AgarwalA Standards compliant Interval Arithmetic Library
SebastianGuadalupeComputational Methods using Zonotopes
Nabanita DashFast communication library in Julia by wrapping the UCX networking library
Ashrya Agrawal-1MLJ - FairML
SebastianM-CN-body problem tooling for large scale electrodynamics simulations
Ashutosh BharambeNeural Networks for solving differential equations
Abhinav MehndirattaParallel Graph Algorithms
abhinav_guptaParameter estimation for nonlinear dynamical models.