Repository Index

Productive, portable, and performant GPU programming in Python.

• taichi
• differentiable-programming
• gpu-programming
• sparse-computation

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

• java
• gpu
• deeplearning
• neural-nets

DiffSharp: Differentiable Functional Programming

• machine-learning
• tensor
• dotnet
• autodiff

Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.

• autograd
• compiler
• deep-learning
• golang