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Pinned repositories
Repositories
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book
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
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FluidDoc
Documentations for PaddlePaddle
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X2Paddle
Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)
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models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
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PaddleClas
A treasure chest for image classification powered by PaddlePaddle
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Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
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Paddle-Lite
Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎）
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PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
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paddle1to2
upgrade paddle-1.x to paddle-2.0
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PaddleFL
Federated Deep Learning in PaddlePaddle
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PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
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PaddleSeg
End-to-End Image Segmentation Kits Based on PaddlePaddle. (『飞桨』图像分割开发套件）
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VisualDL
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
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PaddleHub
Toolkit for Pre-trained Model Application of PaddlePaddle（『飞桨』预训练模型应用工具 ）
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ERNIE
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
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PaddleRec
大规模推荐模型训练工具
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hapi
hapi is a High-level API that supports both static and dynamic execution modes
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PaddleX
PaddlePaddle Entire Process Development Toolkit（『飞桨』深度学习全流程开发工具）
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PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
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InterpretDL
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库
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PaddleOCR
Awesome OCR toolkits based on PaddlePaddle （『飞桨』8.6M超轻量中文OCR模型，支持训练部署全流程）
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FleetX
Paddle Distributed Training Extended. 飞桨分布式训练扩展包
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Serving
A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）
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PARL
A high-performance distributed training framework for Reinforcement Learning
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Contrib
contribution works with PaddlePaddle from the third party developers
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Paddle.js
Paddle.js is an Web project for Baidu Paddle, which is an open source deep learning framework designed to work on web browser. Load a pretrained paddle.js SavedModel or Paddle Hub module into the browser and run inference through Paddle.js. It could run on nearly every browser with WebGL support.
