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Search results for pytorch model compression
model-compression
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pytorch
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44 search results found
Nni
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13,725
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Efficient Ai Backbones
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3,847
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Micronet
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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
Awesome Pruning
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2,091
A curated list of neural network pruning resources.
Knowledge Distillation Pytorch
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1,780
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Neuronblocks
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1,441
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
Tinyneuralnetwork
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681
TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
Awesome Automl And Lightweight Models
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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.
Filter Pruning Geometric Median
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489
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
Kd_lib
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476
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
Archai
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428
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Ghostnet.pytorch
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418
[CVPR2020] GhostNet: More Features from Cheap Operations
Hawq
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324
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Only_train_once
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242
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, LLM
Soft Filter Pruning
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235
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Pruning Filter In Filter
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161
Pruning Filter in Filter(NeurIPS2020)
Ayolov2
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152
Knowledgedistillation
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150
Knowledge distillation in text classification with pytorch. 知识蒸馏,中文文本分类,教师模型BERT、XLNET,学生模型biLSTM。
Ld Net
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145
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Pytorch Weights_pruning
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145
PyTorch Implementation of Weights Pruning
Torch Model Compression
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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
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125
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
Diff Pruning
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102
[NeurIPS 2023] Structural Pruning for Diffusion Models
Aquvitae
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88
Knowledge Distillation Toolkit
Pkd For Bert Model Compression
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82
pytorch implementation for Patient Knowledge Distillation for BERT Model Compression
Yolov3
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77
yolov3 by pytorch
Awesome Computer Vision Resources
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70
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
Musco Pytorch
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55
MUSCO: MUlti-Stage COmpression of neural networks
Model Compression And Acceleration Progress
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50
Repository to track the progress in model compression and acceleration
Bitpack
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36
BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
Dlcv2018spring
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32
Deep Learning for Computer Vision (CommE 5052) in NTU
Regularization Pruning
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28
[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"
Qsparse
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27
Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
Fastpose
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24
pytorch realtime multi person keypoint estimation
Squeezer
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18
Lightweight knowledge distillation pipeline
Structured Bayesian Pruning Pytorch
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18
pytorch implementation of Structured Bayesian Pruning
Rosita
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11
[AAAI 2021] "ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques", Yuanxin Liu, Zheng Lin, Fengcheng Yuan
Chip_neurips2021
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9
Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).
Mtcnn_pytorch
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8
Eve Mli
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8
eve-mli: making learning interesting
Lottery_regulated_grouped_kernel_pruning
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7
Finding densely structured subnetwork with a lot of traits — code for S. Zhong et al. Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions. ICLR 2022
Practise
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6
[CVPR2023] Practical Network Acceleration with Tiny Sets
Cnn_compression_rank_selection_bayesopt
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6
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
Da2lite
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6
DA2Lite is an automated model compression toolkit for PyTorch.
Luminet
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6
The official implementation of LumiNet: The Bright Side of Perceptual Knowledge Distillation https://arxiv.org/abs/2310.03669
Ptdeco
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5
ptdeco is a library for model optimization by decomposition built on top of PyTorch
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