apps/FastDeploy
1
0
Fork 0
mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-09-27 04:46:16 +08:00
Code Issues Actions 5 Packages Projects Releases Wiki Activity
1 Commit 23 Branches 7 Tags
82b323216b523f7322f9957be5f7ad93b0cbbcf9
Go to file
Clone
Open with VS Code Open with VSCodium Open with Intellij IDEA
Download ZIP Download TAR.GZ Download BUNDLE
82b323216b Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
assets
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
benchmark
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
best_practices
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
features
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
get_started
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
offline_inference
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
online_serving
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
parameters
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
quantization
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
search
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
supported_models
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
usage
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
zh
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
.nojekyll
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
404.html
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
index.html
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
requirements.txt
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
sitemap.xml
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
sitemap.xml.gz
Deployed 79c2c52 with MkDocs version: 1.6.1
2025-09-26 10:44:01 +00:00
Description
⚡️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.
androidgraphcoreinteljetsonkunlunobject-detectiononnxonnxruntimeopenvinopicodetrockchipservingstable-diffusiontensorrtuieyolov5yolov8
Apache-2.0 152 MiB
Languages
Python 45%
C++ 28.8%
Cuda 25.4%
Shell 0.5%
C 0.2%
Other 0.1%