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Deep Learning and deep reinforcement learning research papers and some codes
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papers Towards Efficient and Unbiased Implementation of Lipschitz Continuity… Apr 4, 2019
LICENCE add license Dec 23, 2017
README.md Update README.md Mar 21, 2019
applications.md PyTorch version of Google AI's BERT model with script to load Google'… Nov 18, 2018
awesome_projects.md A reading list of top Conferences & Journals, focused on facial expre… Apr 26, 2019
books.md
corpus.md 大规模中文自然语言处理语料 Feb 13, 2019
courses.md Added Reinforcement Learning in Motion the list of courses Mar 7, 2019
model_zoo.md update structure Feb 4, 2018
pre_trained.md Overview of OpenVINO™ Toolkit Pre-Trained Models Oct 25, 2018
software.md OpenNN Sep 10, 2018
tutorials.md update structure Feb 4, 2018

README.md

Awesome Deep learning papers and other resources

Awesome

A list of recent papers regarding deep learning and deep reinforcement learning. They are sorted by time to see the recent papers first. I will renew the recent papers and add notes to these papers.

You should find the papers and software with star flag are more important or popular.

Table of Contents

Papers

Model Zoo

  • 2012 | AlexNet: ImageNet Classification with Deep Convolutional Neural Networks. pdf code
  • 2013 | RCNN: Rich feature hierarchies for accurate object detection and semantic segmentation. arxiv code
  • 2014 | CGNA: Conditional Generative Adversarial Nets. arxiv code
  • 2014 | DeepFaceVariant: Deep Learning Face Representation from Predicting 10,000 Classes. pdf code
  • 2014 | GAN: Generative Adversarial Networks. arxiv code
  • 2014 | GoogLeNet: Going Deeper with Convolutions. pdf code

More details in Model Zoo

Pre Trained Model

More details in Pretrained Model

Courses

More details in courses

Books

More details in books

Tutorials

More details in tutorials

Software

More details in software

Applications

More details in applications

Awesome Projects

More details in awesome projects

Corpus

More details in corpus

Contributors

Special thanks to everyone who contributed to this project.

  • raer6
  • isikdogan
  • outlace
  • divamgupta
  • Naman-Bhalla
  • ppuliu
  • benedekrozemberczki
  • roziunicorn

License

The details in License

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