Skip to content
#

model-compression

Here are 271 public repositories matching this topic...

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  • Updated Jul 3, 2024
  • Python

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-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、reg…

  • Updated Oct 6, 2021
  • Python

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

  • Updated Nov 1, 2024

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.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

  • Updated Jun 19, 2021

Improve this page

Add a description, image, and links to the model-compression topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the model-compression topic, visit your repo's landing page and select "manage topics."

Learn more