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

入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.

高性能并行、事件驱动量化回测框架 high performance backtest，factor investing, portfiolio analysis

TradingAgents: Multi-Agents LLM Financial Trading Framework

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

[KDD '23] Official implementation for "Breaking the Curse of Quality Saturation with User-Centric Ranking"

[WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…

Portfolio and risk analytics in Python

FinRL®: Financial Reinforcement Learning. 🔥

[KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation

Free, open source crypto trading bot

量化研究-券商金工研报复现

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

中国的Quant相关资源索引

High-performance TensorFlow library for quantitative finance.

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

A framework for large scale recommendation algorithms.

I am a full-stack engineer for AI projects, glad to share my experience. pratices make the top engineer.

A Flexible and Powerful Parameter Server for large-scale machine learning

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

TuShare is a utility for crawling historical data of China stocks

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

Papers on Computational Advertising