tjevgerres's repositories

acme

A library of reinforcement learning components and agents

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agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

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ai_quant_trade

(Eng. Incl.) 股票AI操盘手:包含股票知识、策略实例、机器学习、深度学习、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易

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akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

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altair

Declarative statistical visualization library for Python

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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autoreset_rl

Official TensorFlow implementation of the paper "Automating Reinforcement Learning with Example-based Resets"

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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Awesome_AI4Finance

A collection of practical resources by the AI4Finance Foundation

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czsc

缠中说禅技术分析工具;缠论;股票;期货;Quant;量化交易

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ElegantRL

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

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FinRL

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

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FinRL-Meta

FinRL­-Meta: A Universe for Data­-Driven Financial Reinforcement Learning. 🔥

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keras-tuner

Hyperparameter tuning for humans

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machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

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mplfinance

Financial Markets Data Visualization using Matplotlib

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mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

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open-rl

Implementations of a large collection of reinforcement learning algorithms.

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QuantResearch

Quantitative analysis, strategies and backtests

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quanttrader

Backtest and live trading in Python

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ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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rl-book-1

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

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rl-stock-trading

WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application

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rlalgorithms-tf2

Packaged deep reinforcement learning algorithms in tensorflow 2.x

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stock-1

股票行情数据 东方财富交易接口 股票自动交易

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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StockSharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

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Tensorflow-2-Reinforcement-Learning-Cookbook

Tensorflow 2 Reinforcement Learning Cookbook, published by Packt

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TensorLayerX

TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.

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tianshou

An elegant PyTorch deep reinforcement learning library.

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