Awesome Open Source
Awesome Open Source
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The Top 41 Pruning Open Source Projects

Distiller ⭐ 3,534
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Micronet ⭐ 1,356
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/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
Awesome Pruning ⭐ 1,131
A curated list of neural network pruning resources.
Model Optimization ⭐ 1,059
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Pytorch Pruning ⭐ 756
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
Paddleslim ⭐ 734
PaddleSlim is an open-source library for deep model compression and architecture search.
Sparseml ⭐ 625
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Awesome Emdl ⭐ 562
Embedded and mobile deep learning research resources
Aimet ⭐ 528
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Filter Pruning Geometric Median ⭐ 360
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
Keras Surgeon ⭐ 353
Pruning and other network surgery for trained Keras models.
Yolov3v4 Modelcompression Multidatasettraining Multibackbone ⭐ 329
YOLO ModelCompression MultidatasetTraining
Yolov3 Network Slimming ⭐ 324
yolov3 network slimming剪枝的一种实现
Soft Filter Pruning ⭐ 301
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Mobile Yolov5 Pruning Distillation ⭐ 298
mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！
Selecsls Pytorch ⭐ 267
Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
Nncf ⭐ 262
PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference
Torch Pruning ⭐ 246
A pytorch pruning toolkit for structured neural network pruning and automatic layer dependency maintaining.
Awesome Ai Infrastructures ⭐ 242
Infrastructures™ for Machine Learning Training/Inference in Production.
Skimcaffe ⭐ 233
Caffe for Sparse Convolutional Neural Network
Kd_lib ⭐ 231
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
Autorestic ⭐ 228
High level CLI utility for restic
Neuralnetworks.thought Experiments ⭐ 200
Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Awesome Ml Model Compression ⭐ 183
Awesome machine learning model compression research papers, tools, and learning material.
Model_compression ⭐ 172
PyTorch Model Compression
Lottery Ticket Hypothesis In Pytorch ⭐ 171
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.
Hrank ⭐ 171
Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
Deepsparse ⭐ 150
Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs
Awesome Edge Machine Learning ⭐ 149
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
Cen ⭐ 129
[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)
Filter Grafting ⭐ 120
Filter Grafting for Deep Neural Networks(CVPR 2020)
Adventures In Tensorflow Lite ⭐ 100
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
Ds Net ⭐ 76
Dynamic Slimmable Network (CVPR 2021, Oral)
Model Compression And Acceleration Progress ⭐ 69
Repository to track the progress in model compression and acceleration
Ntagger ⭐ 67
reference pytorch code for named entity tagging
Grasp ⭐ 59
Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
Delve ⭐ 50
PyTorch and Keras model training and layer saturation monitor
Ridurre Network Filter Pruning Keras ⭐ 36
Keras model convolutional filter pruning package
Tf Keras Surgeon ⭐ 25
Pruning and other network surgery for trained TF.Keras models.
Pytorchpruner ⭐ 16
Caffe_increg ⭐ 12
IJCNN-19 and IEEE JSTSP-19 "Structured Pruning for Efficient ConvNets via Incremental Regularization"; BMVC-18 "Structured probabilistic pruning for convolutional neural network acceleration"
1-41 of 41 projects
Advertising 📦 10
All Projects
Application Programming Interfaces 📦 124
Applications 📦 192
Artificial Intelligence 📦 78
Blockchain 📦 73
Build Tools 📦 113
Cloud Computing 📦 80
Code Quality 📦 28
Collaboration 📦 32
Command Line Interface 📦 49
Community 📦 83
Companies 📦 60
Compilers 📦 63
Computer Science 📦 80
Configuration Management 📦 42
Content Management 📦 175
Control Flow 📦 213
Data Formats 📦 78
Data Processing 📦 276
Data Storage 📦 135
Economics 📦 64
Frameworks 📦 215
Games 📦 129
Graphics 📦 110
Hardware 📦 152
Integrated Development Environments 📦 49
Learning Resources 📦 166
Legal 📦 29
Libraries 📦 129
Lists Of Projects 📦 22
Machine Learning 📦 347
Mapping 📦 64
Marketing 📦 15
Mathematics 📦 55
Media 📦 239
Messaging 📦 98
Networking 📦 315
Operating Systems 📦 89
Operations 📦 121
Package Managers 📦 55
Programming Languages 📦 245
Runtime Environments 📦 100
Science 📦 42
Security 📦 396
Social Media 📦 27
Software Architecture 📦 72
Software Development 📦 72
Software Performance 📦 58
Software Quality 📦 133
Text Editors 📦 49
Text Processing 📦 136
User Interface 📦 330
User Interface Components 📦 514
Version Control 📦 30
Virtualization 📦 71
Web Browsers 📦 42
Web Servers 📦 26
Web User Interface 📦 210