Gaurav Arya's repositories
StochasticAD.jl
Research package for automatic differentiation of programs containing discrete randomness.
differentiable_mh
Code for paper https://arxiv.org/abs/2306.07961
AbstractFFTs.jl
A Julia framework for implementing FFTs
Cthulhu.jl
The slow descent into madness
DiffEqProblemLibrary.jl
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
DynamicQuantities.jl
Lightweight + fast physical quantities in Julia
Fluxperimental.jl
Experimental features for Flux.jl
Functors.jl
Parameterise all the things
ImplicitAdjoints.jl
matrix-free implicit differentiation + adjoint method
JumpProcesses.jl-1
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
MeasureTheory.jl
"Distributions" that might not add to one.
OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
ProtoStructs.jl
Easy prototyping of structs
pysr_paper
A paper describing the implementation of PySR and SymbolicRegression.jl
SciMLBase.jl
The Base interface of the SciML ecosystem
SciMLOperators.jl
SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia
SparseDiffTools.jl
Fast jacobian computation through sparsity exploitation and matrix coloring
StochasticDiffEq.jl
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem