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https://github.com/paddlepaddle/fastdeploy
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
https://github.com/paddlepaddle/fastdeploy
android graphcore intel jetson kunlun object-detection onnx onnxruntime openvino picodet rockchip serving stable-diffusion tensorrt uie yolov5 yolov8
Last synced: 1 day ago
JSON representation
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
- Host: GitHub
- URL: https://github.com/paddlepaddle/fastdeploy
- Owner: PaddlePaddle
- License: apache-2.0
- Created: 2022-06-27T10:22:10.000Z (over 2 years ago)
- Default Branch: develop
- Last Pushed: 2025-01-16T02:02:07.000Z (21 days ago)
- Last Synced: 2025-02-04T15:11:19.112Z (1 day ago)
- Topics: android, graphcore, intel, jetson, kunlun, object-detection, onnx, onnxruntime, openvino, picodet, rockchip, serving, stable-diffusion, tensorrt, uie, yolov5, yolov8
- Language: C++
- Homepage: https://www.paddlepaddle.org.cn/fastdeploy
- Size: 37.6 MB
- Stars: 3,080
- Watchers: 55
- Forks: 473
- Open Issues: 363
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md