Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/alibaba/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
https://github.com/alibaba/MNN
arm convolution deep-learning deep-neural-networks embedded-devices machine-learning ml mnn vulkan winograd-algorithm
Last synced: 9 days ago
JSON representation
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
- Host: GitHub
- URL: https://github.com/alibaba/MNN
- Owner: alibaba
- Created: 2019-04-15T07:40:18.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-05-20T09:41:13.000Z (6 months ago)
- Last Synced: 2024-05-21T04:57:12.720Z (6 months ago)
- Topics: arm, convolution, deep-learning, deep-neural-networks, embedded-devices, machine-learning, ml, mnn, vulkan, winograd-algorithm
- Language: C++
- Homepage: http://www.mnn.zone/
- Size: 186 MB
- Stars: 8,354
- Watchers: 201
- Forks: 1,623
- Open Issues: 56
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
Awesome Lists containing this project
- awesome-lists - mnn
- my-awesome - alibaba/MNN - learning,deep-neural-networks,embedded-devices,machine-learning,ml,mnn,vulkan,winograd-algorithm pushed_at:2024-10 star:8.7k fork:1.7k MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba (C++)
- awesome-blazingly-fast - MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba (C++)
- awesome-edge-machine-learning - https://github.com/alibaba/MNN
- FLsystem-paper - `Github`
- Awesome-Cloud-Edge-AI - [GitHub
- awesome-robotic-tooling - MNN - A blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. (Sensor Processing / Machine Learning)
- awesome-yolo-object-detection - MNN - tested by business-critical use cases in Alibaba. (**[MLSys 2020](https://proceedings.mlsys.org/paper/2020/hash/8f14e45fceea167a5a36dedd4bea2543-Abstract.html)**) (Lighter and Deployment Frameworks)
- awesome-yolo-object-detection - MNN - tested by business-critical use cases in Alibaba. (**[MLSys 2020](https://proceedings.mlsys.org/paper/2020/hash/8f14e45fceea167a5a36dedd4bea2543-Abstract.html)**) (Lighter and Deployment Frameworks)
- Awesome-LLMs-on-device - [Github