auto-differentiation topic
ilqr
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
essence
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
autodiff
automatic differentiation made easier for C++
mushin
Computational graphs with reverse automatic differentation in the GPU
FastAD
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
oxide-enzyme
Enzyme integration into Rust. Experimental, do not use.
gp
Differentiable Gaussian Process implementation for PyTorch
numpy-nn-model
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Arrhenius.jl
Differentiable Reacting Flow Modeling Software