hao-li-2022
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Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Implementation of HFT backtesting simulator and Stoikov strategy
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
detecting regime of financial market
"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
Solving Traveling Salesman Problem with reinforcement learning...
Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"
A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs
《AI驯龙笔记》：记载工程实践问题的解决策略与关键要点，分享各种实用案例，追踪前沿技术发展，囊括 AI 全栈知识，涵盖大模型、编程技术、机器学习、深度学习、强化学习、图神经网络、语音识别、NLP 及图像识别等领域
Official implementation of PRUDEX-Compass
VisualHFT is a cutting-edge GUI platform for market analysis, focusing on real-time visualization of market microstructure. Built with WPF & C#, it displays key metrics like Limit Order Book dynami…
A collection of homeworks of market microstructure models.
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Code for Nature energy manuscript
This MLP model is able to achieve accurate predictions of the battery electrochemical performance using the corresponding electrode materials. The input includes stoichiometric attributes, crystal …
A basic Diffusion of Innovation simulation with NetworkX
A generator of American small towns, with an emphasis on social simulation.
A narrative-focused agent-based settlement simulation framework.
ABIDES: Agent-Based Interactive Discrete Event Simulation
Source code for the blog post on the evolution of the asset allocation methods
Optimal Execution of Foreign Securities: A Double-Execution Problem with Machine Learning
Tutorials. Please star.
FinRL: Financial Reinforcement Learning. 🔥