awesome-deeplearning-resources
by endymecy
Deep Learning and deep reinforcement learning research papers and some codes
AI summary
Deep Learning Hub
A curated collection of deep learning research papers, models, codes, courses, books, and software resources.
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What's in the list
153 links in 25 sections, with live GitHub stats.activeno commit in 2y
Links
2021 year
Links
2020 year
Links
2019 year
Links
2018 year
Links
2017 year
Links
2016 year
Links
Model Zoo
- pdf
2012 | AlexNet: ImageNet Classification with Deep Convolutional Neural Networks
- arxiv
2013 | RCNN: Rich feature hierarchies for accurate object detection and semantic segmentation
- arxiv
2014 | CGNA: Conditional Generative Adversarial Nets
- pdf
2014 | DeepFaceVariant: Deep Learning Face Representation from Predicting 10,000 Classes
- arxiv
2014 | GAN: Generative Adversarial Networks
- pdf
2014 | GoogLeNet: Going Deeper with Convolutions
Pre Trained Model
Courses
- CS294: Deep Reinforcement Learning
[Berkeley]
- Stat212b:Topics Course on Deep Learning
[Berkeley]
- Neural networks for NLP
[CMU] )
Books
Tutorials
Software
Software / Machine learning in Python.
Software
Applications
Awesome Projects
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
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