Automatic-differentiation Packages

A porting of Karpathy's Micrograd to JS

adnn provides TypeSafe Javascript-native neural networks on top of general scalar/tensor reverse-mode automatic differentiation. You can use just the AD code, or the NN layer built on top of it. This architecture makes it easy to define big, complex numer

[](https://www.npmjs.com/package/@2bad/micrograd) [](https://opensource.org/license/MIT) [![GitHub Build Status](https://img.shields.io/git