binary-network

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Efficient-ML / Awesome-Model-Quantization

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 deep-learning quantization model-compression model-acceleration binary-network binarized-neural-networks lightweight-neural-network model-quantization efficient-deep-learning

Updated Mar 4, 2025

lmbxmu / RBNN

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Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network

binary-neural-networks network-quantization binary-network neurips-2020 network-compression-acceleration neurips2020

Updated Dec 30, 2022
Python

nmduc / deep-ternary

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Source code for the paper "Deep Learning Sparse Ternary Projections For Compressed Sensing of Images"

deep-learning neural-network compressed-sensing tensorflow binary-network

Updated Aug 30, 2018
Python

upunaprosk / Awesome-LLM-Compression-Safety

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A curated list of papers, docs, and code on the undesired effects of model compression, including impacts on fairness, robustness, calibration, and toxicity. The project is continuously updated. Welcome to PR the works (papers, repositories) that are missed by the repo!