Tencent / ncnn

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

zml / zml

Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild

iree-org / iree

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

llvm / circt

Circuit IR Compilers and Tools

llvm / torch-mlir

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

EnzymeAD / Enzyme

High-performance automatic differentiation of LLVM and MLIR.

onnx / onnx-mlir

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

NVIDIA / cuda-tile

CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-based computation patterns and optimizations targeting NVIDIA tensor core units.

sophgo / tpu-mlir

Machine learning compiler based on MLIR for Sophgo TPU.

google / heir

The compiler for homomorphic encryption

buddy-compiler / buddy-mlir

An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).

Xilinx / mlir-aie

A close-to-metal Python API for programming AMD Ryzen™ AI NPUs (AI Engines), built on an open-source MLIR-based compiler toolchain.

google / jsir

Next-generation JavaScript analysis tooling

mlir-rs / melior

The rustic MLIR bindings in Rust

pliron-org / pliron

An Extensible Compiler IR Framework

vx-lang / Vx

Vx: one language, every chip.

NVIDIA / tensor-ir

TensorIR is a lightweight NVIDIA-owned MLIR compiler frontend for expressing tensor computations and lowering them to NVIDIA CUDA Tile IR.

monatis / ggmlc

A multi-framework neural network compiler lowering PyTorch, JAX, Flax, and Keras models to portable, high-performance GGML execution

c8dhjp4tyv-bit / hawkpoint-npu-llm

Run LLMs and Ollama Qwen across AMD XDNA1 NPU, CPU, and GPU on Ryzen AI Linux systems.