Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
https://github.com/Tencent/ncnn
android arm-neon artificial-intelligence caffe darknet deep-learning high-preformance inference ios keras mlir mxnet ncnn neural-network onnx pytorch riscv simd tensorflow vulkan
Last synced: about 2 months ago
JSON representation
ncnn is a high-performance neural network inference framework optimized for the mobile platform
- Host: GitHub
- URL: https://github.com/Tencent/ncnn
- Owner: Tencent
- License: other
- Created: 2017-06-30T10:55:37.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-05-30T11:49:29.000Z (7 months ago)
- Last Synced: 2024-05-30T17:02:04.982Z (7 months ago)
- Topics: android, arm-neon, artificial-intelligence, caffe, darknet, deep-learning, high-preformance, inference, ios, keras, mlir, mxnet, ncnn, neural-network, onnx, pytorch, riscv, simd, tensorflow, vulkan
- Language: C++
- Homepage:
- Size: 23.7 MB
- Stars: 19,444
- Watchers: 572
- Forks: 4,063
- Open Issues: 1,052
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
- Citation: CITATION.cff
Awesome Lists containing this project
- awesome-lists - ncnn
- awesome-simd - ncnn - C++: High-performance NN inference framework optimized for mobile (Neural Network)
- awesome-llmops - NCNN - performance neural network inference framework optimized for the mobile platform. | ![GitHub Badge](https://img.shields.io/github/stars/Tencent/ncnn.svg?style=flat-square) | (Optimizations / Profiling)
- awesome-keras - ncnn - A high-performance neural network framework optimized for mobile platforms. (Frameworks)
- awesome-cv - ncnn - performance neural network inference framework optimized for the mobile platform | (Repos / Tags: Object Classification `[ObjCls]`, Object Detection `[ObjDet]`, Object Segmentation `[ObjSeg]`, General Library `[GenLib]`, Text Reading / Object Character Recognition `[OCR]`, Action Recognition `[ActRec]`, Object Tracking `[ObjTrk]`, Data Augmentation `[DatAug]`, Simultaneous Localization and Mapping `[SLAM]`, Outlier/Anomaly/Novelty Detection `[NvlDet]`, Content-based Image Retrieval `[CBIR]`, Image Enhancement `[ImgEnh]`, Aesthetic Assessment `[AesAss]`, Explainable Artificial Intelligence `[XAI]`, Text-to-Image Generation `[TexImg]`, Pose Estimation `[PosEst]`, Video Matting `[VidMat]`, Eye Tracking `[EyeTrk]`)
- Awesome-Cloud-Edge-AI - [Github
- awesome-list - ncnn - A high-performance neural network inference framework optimized for the mobile platform. (Deep Learning Framework / Deployment & Distribution)
- AwesomeCppGameDev - ncnn - performance neural network inference framework optimized for the mobile platform (AI)
- awesome-made-by-chinese - ncnn
- awesome-yolo-object-detection - NCNN - performance neural network inference framework optimized for the mobile platform. (Lighter and Deployment Frameworks)
- awesome-yolo-object-detection - NCNN - performance neural network inference framework optimized for the mobile platform. (Lighter and Deployment Frameworks)
- awesome-osml-for-devs - NCNN - performance neural network inference framework optimized for the mobile platform. (Libraries, Platforms and Development Platform-specific Resources / Development Platform)
- awesome-osml-for-devs - NCNN - performance neural network inference framework optimized for the mobile platform. (Libraries, Platforms and Development Platform-specific Resources / Development Platform)