Edwardly24

RecommenderSystem

transdim

Machine learning for transportation data imputation and prediction.

Wide-Deep

Wide&Deep模型Pytorch实现

daily-interview

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

MTS-Mixers

MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing

awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

fastai

The fastai deep learning library

Pytorch-Lightning-Learning

Pytorch Lightning入门中文教程，转载请注明来源。（当初是写着玩的，建议看完MNIST这个例子再上手）

PettingZoo

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

ma-gym

A collection of multi agent environments based on OpenAI gym.

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

ReplenishmentEnv

MAgent

A Platform for Many-Agent Reinforcement Learning

drl-order-batching

Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem

FinRL

FinRL: Financial Reinforcement Learning. 🔥

StockRL

在A股(股票)市场上训练强化学习交易智能体

ai_quant_trade

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

Stock-Trading-Environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

pytorch-forecasting

Time series forecasting with PyTorch

Time-Series-Library

A Library for Advanced Deep Time Series Models.

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.