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books

burl

Behavior-aware URL embedding

burl2

Behavior-aware URL Classification with Streaming Lookup Table

c51-ddpg

This is a TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DDPG)

c51-pytorch

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。

data-analysis

Data Science Using Python

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

distributional-dqn

Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

elegantrl

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. 🔥

evolutionary-algorithm

Evolutionary Algorithm using Python

finrl

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

haocheng

RL+TCC for Quantitative Trading

imaginertb

Cost-effective bidding under partially observable prices landscapes

learning-reinforcement-learning

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

lihang-code

《统计学习方法》的代码实现

lihang-code-master

李航统计学习方法课后习题代码

mgria

Multi-granularity repurchase interval-aware recommendation with small item-set

nndl-codes

Sample Codes for NNDL

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

openai-baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pysnooper

Never use print for debugging again

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

pytorch-a3c-1

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".