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Pinned repositories
Repositories
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PaddleOCR
OCR toolkit based on PaddlePaddle （基于飞桨的OCR工具库，包含总模型仅8.6M的超轻量级中文OCR，同时支持多种文本检测、文本识别的训练算法。）
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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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PARL
PARL A high-performance distributed training framework for Reinforcement Learning
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PaddleRec
大规模推荐模型训练工具
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PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
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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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PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
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PaddleFL
Federated Deep Learning in PaddlePaddle
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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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PaddleSeg
End-to-End Image Segmentation Kits Based on PaddlePaddle. (『飞桨』图像分割开发套件）
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ERNIE
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
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PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
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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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RLSchool
Excellent Environments for Reinforcement Learning Benchmarking （强化学习环境集）
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Research
novel deep learning research works with PaddlePaddle
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Parakeet
PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, ClariNet, WaveNet, Deep Voice 3, Transformer TTS and FastSpeech)
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paddle-ce-latest-kpis
Paddle Continuous Evaluation, keep updating.
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Contrib
contribution works with PaddlePaddle from the third party developers
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PALM
a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.
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hapi
hapi is a High-level API that supports both static and dynamic execution modes
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PaddleCloud
PaddleCloud distributed training job scheduling
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PLSC
Paddle Large Scale Classification Tools
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DeepSpeech
A PaddlePaddle implementation of DeepSpeech2 architecture for ASR.
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ElasticCTR
ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。
