🏴‍☠️ Awesome projects built during the Shift Hackathon (Nantes / 2025)

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Minimalistic gridworld package for OpenAI Gym

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

Speech Recognition using DeepSpeech2 and the CTC activation function. Edit

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

Character level speech recognizer using ctc loss with deep rnns in TensorFlow.

Implementation of Deep Q-learning with Experience Replay: https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf

Cross-platform text-to-speech wrapper

Speech recognition using google's tensorflow deep learning framework, sequence-to-sequence neural networks

Python library for EnOcean serial protocol