apple-aiml-research/ml-quant

LSQ+ or LSQplus

Neural network quantization for research and prototyping

Brevitas: neural network quantization in PyTorch

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

[CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient deployment.

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.

Personal Pytorch toy script.