An attempt at safe imperative GPU programming.

Rust bindings for Metal

🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.

Metal graphic api ported to C++ with CMake build system

MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器

small auto-grad engine inspired from Karpathy's micrograd and PyTorch

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

Re-implementation of the TASO compiler using equality saturation

Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA

The Tensor Algebra SuperOptimizer for Deep Learning

JavaScript Engine Optimized for Lynx

Empower the Web community and invite more to build across platforms.

An open-source efficient deep learning framework/compiler, written in python.

Programming Languages Intermediate Representation

Simplify your onnx model

A tiny deep learning training framework implemented from scratch in C++ that follows PyTorch's API.

🍒 Cherry programming language 🍒

MLIR metal dialect

CUDA on non-NVIDIA GPUs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

An autoregressive character-level language model for making more things

A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

Tutorial code on how to build your own Deep Learning System in 2k Lines

Backward compatible ML compute opset inspired by HLO/MHLO

A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture

Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels