dan's repositories
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
serum-dex
Project Serum Rust Monorepo
aave-flashloan-mix
A Brownie mix containing all you need to get started with developing flash loans
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
tf_deep_rl_trader
Trading Environment(OpenAI Gym) + PPO(TensorForce)
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
rl_algorithms
Structural implementation of RL key algorithms
FinRL
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥
RL-Forex-trader-LSTM
Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader
Hindsight-Experience-Replay-1
Implementation of HindSight Experience Replay paper with Pytorch
rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
RNN-RL
Experiments with reinforcement learning and recurrent neural networks
spinningup
An educational resource to help anyone learn deep reinforcement learning.
minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
never-give-up
PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies
hindsight-experience-replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
phasic_policy_gradient
Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow
asynchronous_impala_PPO
Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation
rnn-classifier
Minimal RNN classifier with self-attention in Pytorch
Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
phasic-policy-gradient
An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch
Tutorials
Ipython notebooks for math and finance tutorials
pytorch-r2d2
PyTorch implementation of R2D2 (Recurrent Reply Distributed DQN)