Free, open source crypto trading bot

TradingAgents: Multi-Agents LLM Financial Trading Framework

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…

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

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

TuShare is a utility for crawling historical data of China stocks

Python Implementation of Reinforcement Learning: An Introduction

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

High-performance TensorFlow library for quantitative finance.

Papers on Computational Advertising

A framework for large scale recommendation algorithms.

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

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.

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

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。

Python implementation of the wavelet analysis found in Torrence and Compo (1998)

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

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

Attention,Factorization Machine, Deep Learning, Recommender System

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

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