/awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

MIT LicenseMIT

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

Other Resources

  • Synthical - AI-powered collaborative research environment. You can use it to get recommendations of articles based on reading history, simplify papers, find out what articles are trending, search articles by meaning (not just keywords), create and share folders of articles, see lists of articles from specific companies and universities, and so on.

Contributors

Special thanks to everyone who contributed to this project.

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

License

The details in License