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[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)

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Machine Learning > Model Compression

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An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

dependent packages 27total releases 55most recent commit 4 months ago

pypi nni} Downloads

Efficient Ai Backbones ⭐ 3,847

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

most recent commit 2 months ago

Awesome Knowledge Distillation ⭐ 3,222

Awesome Knowledge Distillation

most recent commit 6 months ago

Pretrained Language Model ⭐ 2,969

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

most recent commit 5 months ago

Pocketflow ⭐ 2,553

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

most recent commit 4 years ago

Awesome Knowledge Distillation ⭐ 2,182

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

most recent commit a year ago

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

total releases 46most recent commit 3 years ago

Awesome Pruning ⭐ 2,091

A curated list of neural network pruning resources.

most recent commit 7 months ago

Torch Pruning ⭐ 2,035

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

dependent packages 4total releases 33most recent commit 6 months ago

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Knowledge Distillation Pytorch ⭐ 1,780

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

most recent commit a year ago

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