mlir

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Circuit IR Compilers and Tools

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

Concrete: TFHE Compiler that converts python programs into FHE equivalent

SHARK - High Performance Machine Learning Distribution

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

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

Highly optimized inference engine for Binarized Neural Networks

VAST is an experimental compiler pipeline designed for program analysis of C and C++. It provides a tower of IRs as MLIR dialects to choose the best fit representations for a program analysis or further program abstraction.

A scalable High-Level Synthesis framework on MLIR

Python interface for MLIR - the Multi-Level Intermediate Representation

An MLIR-based toolchain for Xilinx Versal AIEngine-based devices.

Play with MLIR right in your browser

The rustic MLIR bindings in Rust

Bridging polyhedral analysis tools to the MLIR framework

C++ compiler for heterogeneous quantum-classical computing built on Clang and XACC

Conversions to MLIR EmitC

An optimizing ahead-of-time Python Compiler

Haskell bindings for MLIR