Calibtip

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
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3 months ago
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.
Awesome Automl And Lightweight Models647
4 years ago
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.
Deep Compression Alexnet599
2 years ago1bsd-2-clausePython
Deep Compression on AlexNet
Tinyml Papers And Projects566
7 months ago2mit
This is a list of interesting papers and projects about TinyML.
Awesome Deep Neural Network Compression475
8 months ago4Python
Summary, Code for Deep Neural Network Quantization
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Awesome machine learning model compression research papers, tools, and learning material.
Bmxnet344
4 years agoapache-2.0C++
(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Awesome Model Compression And Acceleration329
3 years ago3
a list of awesome papers on deep model ompression and acceleration
Awesome Edge Machine Learning200
a year ago1otherPython
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
Network Speed And Compression176
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Network acceleration methods
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