awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.
https://github.com/ChristosChristofidis/awesome-deep-learning

Last synced: 5 days ago
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Researchers
- Tutorials
- Websites
Table of Contents
- 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
  - Dive into Deep Learning - numpy based interactive Deep Learning book
  - Practical Deep Learning for Cloud, Mobile, and Edge - A book for optimization techniques during production.
  - Math and Architectures of Deep Learning - by Krishnendu Chaudhury
  - TensorFlow 2.0 in Action - by Thushan Ganegedara
  - Deep Learning for Natural Language Processing - by Stephan Raaijmakers
  - Deep Learning Patterns and Practices - by Andrew Ferlitsch
  - Inside Deep Learning - by Edward Raff
  - Deep Learning with Python, Second Edition - by François Chollet
  - Evolutionary Deep Learning - by Micheal Lanham
  - Deep Learning with R, Second Edition - by François Chollet with Tomasz Kalinowski and J. J. Allaire
  - Regularization in Deep Learning - by Liu Peng
  - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
  - 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
  - Regularization in Deep Learning - by Liu Peng
  - Artificial intelligence and machine learning: Topic wise explanation
- Courses
  - Machine Learning - Stanford - 2014)
  - Machine Learning - Caltech - Mostafa (2012-2014)
  - Machine Learning - Carnegie Mellon
  - Neural Networks for Machine Learning
  - A.I - Berkeley
  - 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
  - Deep Learning - UWaterloo
  - Statistical Machine Learning - CMU
  - Deep Learning Course
  - Designing, Visualizing and Understanding Deep Neural Networks-UC Berkeley
  - UVA Deep Learning Course
  - MIT 6.S094: Deep Learning for Self-Driving Cars
  - MIT 6.S191: Introduction to Deep Learning
  - Keras in Motion video course
  - AI for Everyone
  - Deep Learning Specialization - Coursera - Breaking into AI with the best course from Andrew NG.
  - Deep Learning - UC Berkeley | STAT-157
  - Machine Learning for Mere Mortals video course
  - Deep Learning from the Foundations - Fast.ai
  - Deep Reinforcement Learning (nanodegree) - Udacity - 6 month Udacity nanodegree, spanning multiple courses (2018)
  - Grokking Deep Learning in Motion
  - Face Detection with Computer Vision and Deep Learning
  - Deep Learning Online Course list at Classpert
  - AWS Machine Learning
  - Intro to Deep Learning with PyTorch - A great introductory course on Deep Learning by Udacity and Facebook AI
  - Neural Networks and Deep Learning - COMP9444 19T3
  - Deep Learning A.I.Shelf
  - A.I - Berkeley
  - 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
  - Deep Learning - UC Berkeley | STAT-157
  - Deep Learning A.I.Shelf
  - Statistical Machine Learning - CMU
  - Deep Learning A.I.Shelf
  - Berkeley CS 294: Deep Reinforcement Learning
  - Machine Learning - Caltech - Mostafa (2012-2014)
  - Yann LeCun’s Deep Learning Course at CDS - DS-GA 1008 · SPRING 2021
  - AI for Everyone
  - Graduate Summer School: Deep Learning, Feature Learning
  - Deep Learning - UWaterloo
  - Designing, Visualizing and Understanding Deep Neural Networks-UC Berkeley
  - Spinning Up in Deep Reinforcement Learning - A free deep reinforcement learning course by OpenAI (2019)
- Papers

Programming Languages

Python 31 Jupyter Notebook 9 JavaScript 7 C++ 5 Lua 3 Cuda 2 Java 2 HTML 2 TeX 2 Objective-C 1

Categories

Researchers 509 Table of Contents 253 License 2

Sub Categories

Tutorials 211 Datasets 146 Papers 81 Frameworks 70 Websites 55 Videos and Lectures 54 Courses 52 Miscellaneous 38 Books 24 Tools 16 Conferences 13 Contributing 4

Keywords

deep-learning 34 machine-learning 32 python 16 tensorflow 10 neural-network 10 computer-vision 8 pytorch 8 data-science 7 neural-networks 7 artificial-intelligence 5 reinforcement-learning 5 ai 5 object-detection 4 deep-neural-networks 4 deeplearning 4 numpy 3 ml 3 distributed 3 gpu 3 scikit-learn 3 framework 3 data-analysis 2 jupyter 2 hyperparameter-tuning 2 java 2 mlops 2 network-embedding 2 jupyter-notebook 2 distributed-computing 2 reproducibility 2 face-recognition 2 monitoring 2 research 2 deep-reinforcement-learning 2 jax 2 kubernetes 2 nlp 2 dataset 2 deep-learning-library 2 gan 2 machinelearning 2 tutorial 2 keras 2 hyperparameter-optimization 2 faster-rcnn 2 hyperparameter-search 2 zalando 1 jupyter-lab 1 mnist 1 r 1