Keras Resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
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Keras resources

This is a directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library.

If you have a high-quality tutorial or project to add, please open a PR.

Official starter resources


Books based on Keras

Code examples

Working with text

Working with images

Creative visual applications

Reinforcement learning

  • DQN
  • FlappyBird DQN
  • async-RL: Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
  • keras-rl: A library for state-of-the-art reinforcement learning. Integrates with OpenAI Gym and implements DQN, double DQN, Continuous DQN, and DDPG.

Miscallenous architecture blueprints

Third-party libraries

  • Elephas: Distributed Deep Learning with Keras & Spark
  • Hyperas: Hyperparameter optimization
  • Hera: in-browser metrics dashboard for Keras models
  • Kerlym: reinforcement learning with Keras and OpenAI Gym
  • Qlearning4K: reinforcement learning add-on for Keras
  • seq2seq: Sequence to Sequence Learning with Keras
  • Seya: Keras extras
  • Keras Language Modeling: Language modeling tools for Keras
  • Recurrent Shop: Framework for building complex recurrent neural networks with Keras
  • Keras.js: Run trained Keras models in the browser, with GPU support
  • keras-vis: Neural network visualization toolkit for keras.

Projects built with Keras

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