A curated collection of cutting-edge research papers brought to life through code implementations
Welcome to my comprehensive repository of research paper implementations! 🚀 This collection showcases my journey through the fascinating world of AI, Machine Learning, and Financial Technology research. Each implementation represents a deep dive into groundbreaking papers, transforming theoretical concepts into practical, runnable code.
As an AI Engineer and PhD student specializing in artificial intelligence with a passion for finance, I believe that understanding comes through implementation. This repository serves as:
- 🔬 Research Laboratory: Hands-on exploration of state-of-the-art papers
- 💡 Learning Resource: Detailed implementations with explanations
- 🌉 Theory-to-Practice Bridge: Converting research insights into actionable code
- 📖 Knowledge Sharing: Open-source contributions for the AI community
Exploring the frontiers of language understanding and reasoning capabilities
| Paper Title | Repository | Status | Key Techniques |
|---|---|---|---|
| Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning | 📁 MCTS Preference Learning | ✅ Complete | MCTS, DPO, Qwen-1.5B |
| Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search | 📁 MCTS Process Supervision | ✅ Complete | MCTS, Process Supervision, Qwen3 |
Advanced methodologies for financial modeling and trading strategies
| Paper Title | Repository | Status | Key Techniques |
|---|---|---|---|
| Multi-dimensional queue-reactive model and signal-driven models: a unified framework | 📁 Unified LOB Framework | ✅ Complete | Markov Generators, MLE, Lyapunov Analysis |
| To Hedge or Not to Hedge: Optimal Strategies for Stochastic Trade Flow Management | 📁 Trade Flow Management | ✅ Complete | Riccati Solver, PDE Methods, RL |
| Regime-Switching Heston-Hull-White Model | 📁 Regime-Switching Heston-Hull-White | ✅ Complete | Stochastic Calculus, Regime Switching |
| Neural Options Pricing | 📁 Neural Options Pricing | ✅ Complete | Neural SDEs, Wasserstein Distance, Risk-Neutral Pricing |
📝 Note: This repository is actively growing! New paper implementations are being added regularly. Check back often for updates or star the repository to stay notified.
Each implementation follows a consistent structure to ensure quality and reproducibility:
paper-name-implementation/
├── 📄 README.md # Paper summary & implementation details
├── 📊 requirements.txt # Dependencies
├── 🐍 src/ # Source code
├── 📓 notebooks/ # Jupyter notebooks with experiments
├── 📈 results/ # Outputs, figures, and metrics
├── 🧪 tests/ # Unit tests
└── 📚 docs/ # Additional documentation
| [Paper Title](paper-arxiv-link) | [📁 Repo](https://github.com/artaasd95/repo-name) | ✅ Complete | Technique1, Technique2 |- ✅ Complete: Fully implemented and tested
- 🔄 In Progress: Currently under development
- 📋 Planned: Scheduled for implementation
- 🔍 Under Review: Code review and optimization phase
- Choose a paper from the categories above
- Click the repository link to access the implementation
- Follow the README in each repository for setup instructions
- Run the experiments and explore the results!
I welcome discussions, suggestions, and collaborations! Feel free to:
- 🐛 Report Issues: Found a bug? Let me know!
- 💡 Suggest Papers: Have a paper you'd like to see implemented?
- 🔀 Contribute: Improvements and optimizations are always welcome
- 💬 Discuss: Reach out for research collaborations
- 🌐 Website: artaasadi.com
- 💼 LinkedIn: Arta Asadi
- 🐦 X: @arta_asd
- 📧 GitHub: @artaasd95
"The best way to understand a breakthrough is to rebuild it from scratch."
Each implementation in this collection represents not just code, but a journey of understanding—from the first read of the paper to the final working system. Through this process, we uncover the nuances, challenges, and insights that only come from hands-on experience.
⭐ Star this repository if you find it helpful, and watch for updates as new implementations are added regularly!
Happy Learning & Building! 🚀