Mlir Python Packages

pnnx

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

ncnn

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

iree-base-compiler

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

iree-base-runtime

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

pennylane-catalyst

A JIT compiler for hybrid quantum programs in PennyLane

pymlir

Python interface for MLIR - the Multi-Level Intermediate Representation

iree-tools-tf

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

iree-tools-tflite

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

iree-runtime

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

docc-compiler

A JIT compiler for Numpy-based Python programs and bindings for stateful dataflow multigraphs (SDFG).

iree-turbine

IREE's PyTorch Frontend, based on Torch Dynamo.

concrete-python

Concrete: TFHE Compiler that converts python programs into FHE equivalent

docc-ai

Python bindings and MLIR conversion for JIT compiling PyTorch models to SDFGs.

heir-py

A compiler for homomorphic encryption

iree-tools-xla

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

iree-runtime-instrumented

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

torch-quant

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

heir-play

A compiler for homomorphic encryption

teraxlang

TeraXLang - Triton Extension for LLM. As fast as FlashAttention FlashMLA, etc.

widip

A higher-order computing system

sheaf-lang

A functional language for differentiable programming

polyinfer

Unified deployment pipeline

compilerinterface

Library to interface Compilers and ML models for ML-Enabled Compiler Optimizations

tpu-mlir-test

Machine learning compiler based on MLIR for Sophgo TPU.