Michael Abbott's repositories
TensorCast.jl
It slices, it dices, it splices!
ChainRules.jl
forward-, reverse-, and mixed-mode automatic differentiation primitives for Julia Base + StdLibs
ChainRulesCore.jl
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Diffractor.jl
Next-generation AD
DiffRules.jl
A simple shared suite of common derivative definitions
Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
Functors.jl
Parameterise all the things
GPUArrays.jl
Reusable array functionality for Julia's various GPU backends.
NNlibCUDA.jl
CUDA integration for the NNlib API
OneHotArrays.jl
Memory efficient one-hot array encodings
Optimisers.jl
Optimisers.jl defines many standard optimisers and utilities for learning loops.
Pickle.jl
An experimental package for loading and saving object in Python Pickle format.
speed-comparison
A repo which compares the speed of different programming languages.
VIDA.jl
EHT Image domain analysis through template matching.