autodifferentiation topic
MyGrad
Drop-in autodiff for NumPy.
dfdx
Deep learning in Rust, with shape checked tensors and neural networks
autodiff
automatic differentiation made easier for C++
uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
neuronika
Tensors and dynamic neural networks in pure Rust.
FastAD
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
PyCallChainRules.jl
Differentiate python calls from Julia
flint
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
Yaae
Yaae: Yet another autodiff engine (written in Numpy).