automatic differentiation made easier for C++
Tensors and dynamic neural networks in pure Rust.
Transparent calculations with uncertainties on the quantities involved (...
Drop-in autodiff for NumPy.
FastAD is a C++ implementation of automatic differentiation both forward...
200行写一个自动微分工具
Fazang is a Fortran library for reverse-mode automatic differentiation, ...
A toy deep learning framework implemented in pure Numpy from scratch. Ak...