C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!

FFMPEG Assembly Language Lessons

A nobuild content delivery network(CDN) for modern web development.

Denograd is a dependency-free ML library in Typescript for model inference and training with support to WebGPU and other runtimes.

Machine learning compiler based on MLIR for Sophgo TPU.

a simple end to end example of taking a ML graph (TF2 / PyTorch) and running it on a device [cpu, gpu]

A machine learning compiler for GPUs, CPUs, and ML accelerators

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

GPU-accelerated compiler

a categorical deep learning compiler

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

A massively parallel, high-level programming language

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

A polyhedral compiler for expressing fast and portable data parallel algorithms

A model compilation solution for various hardware

A verified compiler for a lazy functional language

[wip] Deep Learning Compiler based on Polyhedral Compiler, Light-weight IRs, and Optimizing Pattern Matcher.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

Open deep learning compiler stack for cpu, gpu and specialized accelerators

NuMojo is a library for numerical computing in Mojo 🔥 similar to numpy in Python.

A high-performance numeric computation library.

A Machine Learning framework from scratch in Pure Mojo 🔥

Inference Llama 2 in one file of pure 🔥

graph based intermediate representation and backend for optimising compilers

In-memory x86-64 assembler for JIT compiler.

Fast Mustache template engine implementation in pure Rust.