quantization topic

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

huawei-noah

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Ar...

666DZY666

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hype...

guan-yuan

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

SforAiDl

Infrastructures™ for Machine Learning Training/Inference in Production.

1duo

PHPStan rules for detecting usage of deprecated classes, methods, properties, constants and traits.

phpstan

Sparsity-aware deep learning inference runtime for CPUs

neuralmagic

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

huggingface

Palette quantization library that powers pngquant and other PNG optimizers

ImageOptim

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

IntelLabs

PaddleSlim is an open-source library for deep model compression and architecture search.

PaddlePaddle