https://github.com/huawei-noah/Efficient-Computing

Efficient computing methods developed by Huawei Noah's Ark Lab
https://github.com/huawei-noah/Efficient-Computing

binary-neural-networks knowledge-distillation model-compression pruning quantization self-supervised

Last synced: 7 days ago
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Efficient computing methods developed by Huawei Noah's Ark Lab

• Host: GitHub
• URL: https://github.com/huawei-noah/Efficient-Computing
• Owner: huawei-noah
• Created: 2019-09-04T10:39:36.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-04-08T09:17:21.000Z (7 months ago)
• Last Synced: 2024-05-22T01:01:24.258Z (6 months ago)
• Topics: binary-neural-networks, knowledge-distillation, model-compression, pruning, quantization, self-supervised
• Language: Jupyter Notebook
• Homepage:
• Size: 98.7 MB
• Stars: 1,119
• Watchers: 21
• Forks: 198
• Open Issues: 14
• Metadata Files:
  • Readme: README.md

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