awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
https://github.com/arifmudi/awesome-deep-learning
Last synced: 16 days ago
JSON representation
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Researchers
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Tools
- TensorBoard - TensorFlow's Visualization Toolkit
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Tutorials
- Abdel-rahman Mohamed
- Adam Coates
- Alex Acero
- Alex Krizhevsky
- Alexander Ilin
- Andrej Karpathy
- Andrew M. Saxe
- Andrew Ng
- Andriy Mnih
- Ayse Naz Erkan
- Benjamin Schrauwen
- Bernardete Ribeiro
- Bo David Chen
- Boureau Y-Lan
- Dan Claudiu Cireșan
- David Reichert
- Derek Rose
- Dong Yu
- Drausin Wulsin
- Erik M. Schmidt
- Galen Andrew
- Geoffrey Hinton
- George Dahl
- Graham Taylor
- Grégoire Montavon
- Hélène Paugam-Moisy
- Honglak Lee
- Hugo Larochelle
- Ilya Sutskever
- Itamar Arel
- James Martens
- Jason Morton
- Jason Weston
- Jeff Dean
- Jiquan Mgiam
- Joseph Turian
- Jürgen Schmidhuber
- Justin A. Blanco
- Koray Kavukcuoglu
- KyungHyun Cho
- Ludovic Arnold
- Marc'Aurelio Ranzato
- Martin Längkvist
- Misha Denil
- Mohammad Norouzi
- Navdeep Jaitly
- Nitish Srivastava
- Noel Lopes
- Oriol Vinyals
- Patrick Nguyen
- Pierre Sermanet
- Quoc V. Le
- Reinhold Scherer
- Robert Coop
- Robert Gens
- Stéphane Mallat
- Tapani Raiko
- Tara Sainath
- Tijmen Tieleman
- Tom Karnowski
- Ueli Meier
- Volodymyr Mnih
- Yann LeCun
- Yichuan Tang
- Yoshua Bengio
- Yotaro Kubo
- Ian Goodfellow
- Andrew W. Senior
- Roger Grosse
- Pascal Vincent
- Abdel-rahman Mohamed
- Alex Krizhevsky
- Alexander Ilin
- Andriy Mnih
- Clement Farabet
- George Dahl
- Honglak Lee
- Ilya Sutskever
- James Martens
- Jason Weston
- Koray Kavukcuoglu
- Misha Denil
- Mohammad Norouzi
- Navdeep Jaitly
- Nitish Srivastava
- Patrick Nguyen
- Quoc V. Le
- Ruslan Salakhutdinov
- Tapani Raiko
- Tijmen Tieleman
- Volodymyr Mnih
- Yann LeCun
- Yichuan Tang
- Yoshua Bengio
- Yotaro Kubo
- Youzhi (Will) Zou
- Patrick Nguyen
- Robert Laganière
- Patrick Nguyen
- Fei-Fei Li
- Patrick Nguyen
- Patrick Nguyen
- Joshua Matthew Susskind
- Lucas Theis
- Patrick Nguyen
- Sebastian Gerwinn
- Adam Coates
- Andrej Karpathy
- Jiquan Mgiam
- Patrick Nguyen
- Brian Kingsbury
- Patrick Nguyen
- Rob Fergus
- Christopher Manning
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Frank Seide
- Li Deng
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
- Patrick Nguyen
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WebSites
- deeplearning.net
- deeplearning.stanford.edu
- ai-junkie.com
- eecs.umich.edu/ai
- www-aig.jpl.nasa.gov
- cgi.cse.unsw.edu.au/~aishare
- isi.edu/AI/isd.htm
- nrl.navy.mil/itd/aic
- deeplearning.cs.toronto.edu
- jeffdonahue.com/lrcn/
- Guide to Machine Learning
- cs.brown.edu/research/ai
- Deep Learning News
- deeplearning.stanford.edu
- ai-junkie.com
- eecs.umich.edu/ai
- nrl.navy.mil/itd/aic
- jeffdonahue.com/lrcn/
- Deep Learning for Beginners
- ai.sri.com
- Machine Learning is Fun! Adam Geitgey's Blog
- Guide to Machine Learning
- nlp.stanford.edu
- AI Weekly
- csail.mit.edu
- cs.rochester.edu/research/ai
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Table of Contents
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Courses
- Machine Learning - Stanford - 2014)
- Machine Learning - Carnegie Mellon
- Neural Networks for Machine Learning
- A.I - MIT
- Vision and learning - computers and brains
- Convolutional Neural Networks for Visual Recognition - Stanford - Fei Li, Andrej Karpathy (2017)
- Deep Learning for Natural Language Processing - Stanford
- Neural Networks - usherbrooke
- Machine Learning - Oxford - 2015)
- Deep Learning - Udacity/Google
- Statistical Machine Learning - CMU
- MIT 6.S094: Deep Learning for Self-Driving Cars
- MIT 6.S191: Introduction to Deep Learning
- Keras in Motion video course
- Deep Learning Course
- Machine Learning - Carnegie Mellon
- Vision and learning - computers and brains
- Deep Learning for Natural Language Processing - Stanford
- Deep Learning Course
- Introduction to Deep Learning
- Statistical Machine Learning - CMU
- Berkeley CS 294: Deep Reinforcement Learning
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Free Online Books
- Neural Networks and Deep Learning
- Deep Learning
- An introduction to genetic algorithms
- Artificial Intelligence: A Modern Approach
- Deep Learning in Neural Networks: An Overview
- Neural Networks and Deep Learning
- neuraltalk - based RNN/LSTM implementation
- An introduction to genetic algorithms
- Artificial Intelligence: A Modern Approach
- Deep Learning in Neural Networks: An Overview
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Papers
- CMU’s list of papers
- here
- Using Very Deep Autoencoders for Content Based Image Retrieval
- Learning Deep Architectures for AI
- Training tricks by YB
- Geoff Hinton's reading list (all papers)
- Supervised Sequence Labelling with Recurrent Neural Networks
- Statistical Language Models based on Neural Networks
- Training Recurrent Neural Networks
- Recursive Deep Learning for Natural Language Processing and Computer Vision
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Programming Languages
Categories
Sub Categories
Keywords
deep-learning
21
machine-learning
18
python
9
neural-network
8
tensorflow
7
neural-networks
6
computer-vision
4
deep-neural-networks
4
artificial-intelligence
3
gpu
2
tutorial
2
ml
2
deeplearning
2
numpy
2
pytorch
2
face-recognition
2
distributed
2
audio-processing
1
audio
1
article
1
tensor
1
autograd
1
torch
1
awesome
1
awesome-list
1
bib
1
list
1
lists
1
music
1
music-genre-classification
1
music-information-retrieval
1
keras
1
machinelearning
1
onnx
1
safetensors
1
coreml
1
tensorflow-lite
1
visualizer
1
ai
1
fast
1
mkl
1
neon
1
performance
1
deep-learning-library
1
theano
1
lasagne
1
scikit-learn
1
examples
1
caffe
1
face
1