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33 search results found

Pretrained Language Model ⭐ 2,912

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

Pocketflow ⭐ 2,553

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Micronet ⭐ 2,177

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、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/in

Paddleslim ⭐ 1,486

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

Awesome Model Quantization ⭐ 1,449

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.

Model Optimization ⭐ 1,445

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Efficient Computing ⭐ 1,110

Efficient computing methods developed by Huawei Noah's Ark Lab

Awesome Automl And Lightweight Models ⭐ 647

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 Alexnet ⭐ 599

Deep Compression on AlexNet

Squeezellm ⭐ 486

SqueezeLLM: Dense-and-Sparse Quantization

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

Awesome Ml Model Compression ⭐ 378

Awesome machine learning model compression research papers, tools, and learning material.

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

Awesome Quantization Papers ⭐ 201

List of papers related to neural network quantization in recent AI conferences and journals.

Awesome Ai Infrastructures ⭐ 171

Infrastructures™ for Machine Learning Training/Inference in Production.

Awesome Model Compression ⭐ 152

papers about model compression

Squeezenet Residual ⭐ 151

residual-SqueezeNet

Torch Model Compression ⭐ 137

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

Q Diffusion ⭐ 125

[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.

Model Compression ⭐ 74

This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep Compression" by Song Han et. al. This paper received best paper award in ICLR 2016

An Open Source Deep Learning Inference Engine Based on FPGA

This project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

Zaq Code ⭐ 40

CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)

[ICML'21] I-BERT: Integer-only BERT Quantization

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

Lc Model Compression ⭐ 34

Model compression by constrained optimization, using the Learning-Compression (LC) algorithm

Cnn Compression Performance ⭐ 24

A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks

Auto Compression ⭐ 20

Automatic DNN compression tool with various model compression and neural architecture search techniques

Integer-only Zero-shot Quantization for Efficient Speech Recognition

Awesome Compression Papers ⭐ 7

Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc

DA2Lite is an automated model compression toolkit for PyTorch.

Ternarized_neural_network ⭐ 6

Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy

1-33 of 33 search results

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