Automatic differentiation Packages

Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.

Automatic Differentiation for Javascript

Various amazingly simple to build and train neural network architectures. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.

GPU-accelerated Deep Recurrent Neural Networks and LSTMs in Typescript. Ported, object-oriented and refactored version of Andrej Karpathy's recurrent-js (https://github.com/karpathy/recurrentjs)