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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 Update Mar 21, 2019 PyTorch version of Google AI's BERT model with script to load Google'… Nov 18, 2018 A reading list of top Conferences & Journals, focused on facial expre… Apr 26, 2019 大规模中文自然语言处理语料 Feb 13, 2019 Added Reinforcement Learning in Motion the list of courses Mar 7, 2019 update structure Feb 4, 2018 Overview of OpenVINO™ Toolkit Pre-Trained Models Oct 25, 2018 OpenNN Sep 10, 2018 update structure Feb 4, 2018

Awesome Deep learning papers and other resources


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


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

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Pre Trained Model

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Awesome Projects

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Special thanks to everyone who contributed to this project.

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


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