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Pinned repositories
Repositories
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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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CINN
a Compiler Infrastructure for Neural Networks
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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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PaddleGAN
PaddlePaddle GAN library and applications.
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PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (multilingual recognition: English, Chinese, Korean, Japanese, German, French etc. 3.5M practical ultra lightweight OCR system, support training and deployment among server, mobile, embedded and IoT devices)
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PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
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PaddleClas
A treasure chest for image classification powered by PaddlePaddle
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FluidDoc
Documentations for PaddlePaddle
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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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PaddleHub
Toolkit for Pre-trained Model Application of PaddlePaddle(『飞桨』预训练模型应用工具 )
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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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Serving
A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)
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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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paddle-ce-latest-kpis
Paddle Continuous Evaluation, keep updating.
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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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book
Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)
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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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Contrib
contribution works with PaddlePaddle from the third party developers
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PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
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PARL
A high-performance distributed training framework for Reinforcement Learning
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Research
novel deep learning research works with PaddlePaddle
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PLSC
Paddle Large Scale Classification Tools
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tutorials
An Introductory Tutorial of Deep Learning and PaddlePaddle