Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
Tensorforce: a TensorFlow library for applied reinforcement learning
An offline deep reinforcement learning library
Scalable, event-driven, deep-learning-friendly backtesting library
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
An OpenAI gym wrapper for CARLA simulator
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).