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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
📷 Glitchify images and GIF - with highly customizable options!
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
A starter agent that can solve a number of universe environments.
Using Keras and Deep Deterministic Policy Gradient to play TORCS
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
Implementations of Reinforcement Learning Models in Tensorflow
Implementation of Transformer Model in Tensorflow
Toolkit to help understand "what lies" in word embeddings. Also benchmarking!
Deep Reinforcement Learning Framework + Algorithms
A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
Examples of advanced Python programming techniques