Popular GitHub Repositories for Stock Returns Forecasting

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.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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. ?

Fast and Accurate ML in 3 Lines of Code

A unified framework for machine learning with time series

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A python library for user-friendly forecasting and anomaly detection on time series.

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Postgres with GPUs for ML/AI apps.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

The unofficial python package that returns response of Google Bard through cookie value.

Probabilistic time series modeling in Python

Time series forecasting with PyTorch

Merlion: A Machine Learning Framework for Time Series Intelligence

? A curated list of awesome LLMs & deep learning strategies & tools in financial market.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

NeuralProphet: A simple forecasting package

Scalable and user friendly neural :brain: forecasting algorithms.