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OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

License: MIT License

Python 51.51% Dockerfile 0.04% HTML 48.46%

baselines's Introduction

Hi ๐Ÿ‘‹, I'm houwenxin

houwenxin's github stats

About

  • ๐Ÿ˜„ Hi there, thank you for passing by, this is Wenxin (Harold)!
  • ๐Ÿ‘ฏ Check out my homepage to learn more about me!

Participated Softwares or Projects

  • NeuralSpeech: A research project in Microsoft Research Asia focusing on neural network based speech processing, including automatic speech recognition (ASR), text to speech (TTS), etc.
  • TorchSSL: An all-in-one toolkit based on PyTorch for semi-supervised learning (SSL), containing code for 9 popular SSL algorithms to enable fair comparison and boost the development of SSL algorithms.
  • EasyEspnet: A wrapper for easier usage of ESPnet that helps you learn/write/run/debug codes in a more friendly Python style.
  • DeepDA: A lightweight, easy-to-extend, easy-to-learn and high-performance toolkit based on PyTorch for domain adaptation (DA) of deep neural networks.
  • spolacq: Spoken Language Acquisition From Conversation Based On Reinforcement Learning

Personal Recommendations

  • ESPnet: the best-ever all-in-one toolkit for end-to-end speech processing!
  • Transfer Learning: you can find all you need for transfer learning from it!

baselines's People

Contributors

20chase avatar andrewliao11 avatar atcold avatar aureliantactics avatar christopherhesse avatar girving avatar gyunt avatar iamhatesz avatar jacobhilton avatar joschu avatar joshim5 avatar louiehelm avatar machinaut avatar matpoliquin avatar matthiasplappert avatar mrahtz avatar olegklimov avatar pzhokhov avatar shakenes avatar siemanko avatar simoninithomas avatar sritee avatar tabula-rosa avatar tanzhenyu avatar timokau avatar unixpickle avatar whyjay avatar williamjqk avatar xingyousong avatar zuoxingdong avatar

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