| htqin/awesome-model-quantization |
1,449 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
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| 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. |
| guan-yuan/awesome-AutoML-and-Lightweight-Models |
647 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
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| 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. |
| csyhhu/Awesome-Deep-Neural-Network-Compression |
475 |
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0 |
0 |
over 2 years ago |
0 |
|
4 |
|
Python |
| Summary, Code for Deep Neural Network Quantization |
| cedrickchee/awesome-ml-model-compression |
378 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
|
| Awesome machine learning model compression research papers, tools, and learning material. |
| ysh329/embedded-ai.bi-weekly |
356 |
|
0 |
0 |
almost 4 years ago |
0 |
|
4 |
mit |
|
| WeChat: NeuralTalk,Weekly report and awesome list of embedded-ai. |
| hpi-xnor/BMXNet |
344 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
apache-2.0 |
C++ |
| (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet |
| sun254/awesome-model-compression-and-acceleration |
329 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
|
|
| a list of awesome papers on deep model ompression and acceleration |
| Xilinx/CHaiDNN |
230 |
|
0 |
0 |
almost 7 years ago |
0 |
|
60 |
other |
C++ |
| HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs |
| j-marple-dev/model_compression |
203 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
mit |
Python |
| PyTorch Model Compression |
| AojunZhou/Incremental-Network-Quantization |
183 |
|
0 |
0 |
over 7 years ago |
0 |
|
33 |
other |
C++ |
| Caffe Implementation for Incremental network quantization |