Da2lite
DA2Lite is an automated model compression toolkit for PyTorch.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nni | 13,725 |  | 8 | 27 | a month ago | 55 | September 14, 2023 | 342 | mit | Python |
| 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 | 3,770 | a month ago | 71 | Python | ||||||
| Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab. | ||||||||||
| Micronet | 2,165 | 3 years ago | 46 | October 06, 2021 | 70 | mit | Python | |||
| 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 | 2,091 | 5 months ago | 9 | |||||||
| A curated list of neural network pruning resources. | ||||||||||
| Knowledge Distillation Pytorch | 1,770 | a year ago | 17 | mit | Python | |||||
| A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility | ||||||||||
| Neuronblocks | 1,442 | 9 months ago | 9 | mit | Python | |||||
| NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego | ||||||||||
| Tinyneuralnetwork | 681 | 3 months ago | 18 | mit | Python | |||||
| TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework. | ||||||||||
| Awesome Automl And Lightweight Models | 647 | 4 years ago | ||||||||
| 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 | 489 | 8 months ago | 13 | Python | ||||||
| Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral) | ||||||||||
| Kd_lib | 476 | a year ago | 8 | May 18, 2022 | 18 | mit | Python | |||
| A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization. | ||||||||||
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Python
Deep Learning
Pytorch
Image Classification
Quantization
Model Compression