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MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.
General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
The most cited deep learning papers
A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / DeepSeek / Qwen), Knowledge Base (file upload / knowledge managemen…
Loose taxonomy of reinforcement learning algorithms
pseudocode and algorithms for the paper "Alpha$^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning"
Integrate the DeepSeek API into popular softwares
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
A compiler, optimizer and executor for financial expressions and factors
Official implementation for AAAI2025: AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
A deep learning framework for symbolic optimization.
Automatically identifies support and resistance lines on a stock chart using reversal points, displays candlestick chart.
A Library for Advanced Deep Time Series Models.
Genetic Programming in Python, with a scikit-learn inspired API
Enhance the gplearn package to support precise three-dimensional structured dimension genetic programming (GP), with a particular focus on enabling cross-sectional factor analysis within the package.
Mining technical factors based on symbolic regression via genetic algorithm
本文通过gplearn模型，结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统，主要针对股指期货操作。
Asynchronous event I/O driven quantitative trading framework.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.