Popular GitHub Repositories for Algorithmic Composition

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

FinRL: Financial Reinforcement Learning. ?

Muzic: Music Understanding and Generation with Artificial Intelligence

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Official implementations for paper: Anydoor: zero-shot object-level image customization

Algorithmic Trading in Python with Machine Learning

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Using python and scikit-learn to make stock predictions

Use unsupervised and supervised learning to predict stocks

Machine Learning in Asset Management (by @firmai)

List of awesome resources for machine learning-based algorithmic trading

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

?+? Build your music algorithms and AI models with the next-gen DAW ?

[ICCV 2023] "TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition" (Official Implementation)

Introducing neural networks to predict stock prices

A deep learning model for style-specific music generation.

Resources on Music Generation with Deep Learning