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https://github.com/mit-han-lab/tinyengine
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
https://github.com/mit-han-lab/tinyengine
c codegenerator cpp deep-learning edge-computing microcontroller neural-architecture-search pytorch quantization tinyml
Last synced: about 2 months ago
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[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
- Host: GitHub
- URL: https://github.com/mit-han-lab/tinyengine
- Owner: mit-han-lab
- License: mit
- Created: 2022-08-24T19:42:28.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-29T18:16:51.000Z (6 months ago)
- Last Synced: 2024-07-01T17:32:59.953Z (3 months ago)
- Topics: c, codegenerator, cpp, deep-learning, edge-computing, microcontroller, neural-architecture-search, pytorch, quantization, tinyml
- Language: C
- Homepage: https://mcunet.mit.edu
- Size: 235 MB
- Stars: 758
- Watchers: 20
- Forks: 127
- Open Issues: 33
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Metadata Files:
- Readme: README.md
- License: LICENSE