# mit-han-lab/tinyengine

<https://repo.masters-masters.com/en/repos/mit-han-lab/tinyengine>

[Home](https://repo.masters-masters.com/en) › [mit-han-lab](https://repo.masters-masters.com/en/owners/mit-han-lab) › [tinyengine](https://repo.masters-masters.com/en/repos/mit-han-lab/tinyengine)

mit-han-lab/tinyengine has 968 stars on GitHub. Its RepoMasters card: Beta tier. \[NeurIPS 2020\] MCUNet: Tiny Deep Learning on IoT Devices; \[NeurIPS 2021\]…

| Field | Value |
| --- | --- |
| Owner | [mit-han-lab](https://repo.masters-masters.com/en/owners/mit-han-lab) |
| Stars | 968 |
| Forks | 165 |
| Language | [C](https://repo.masters-masters.com/en/languages/c) |
| License | MIT |
| Created | 2022 |
| Topics | c, codegenerator, cpp, deep-learning, microcontroller, pytorch, tinyml, edge-computing, neural-architecture-search, quantization |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [mit-han-lab/tinyengine](https://github.com/mit-han-lab/tinyengine) |

## Repository

\[NeurIPS 2020\] 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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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