sophgo/tpu-mlir

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

Open Machine Learning Compiler Framework

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

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

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

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

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.