👉 Click the cover to view the full Executive Overview
👉 Or download directly: AI4Finance-Foundation-Executive-Overview.pdf
AI4Finance Foundation, recognized as a 501(c)(3) nonprofit public charity on Publication 78 data list, commits to the progressive enhancement of artificial intelligence within the financial sector. Our mission emphasizes the promotion of standardized practices and the development of open-source resources, benefiting both the research community and industry professionals.
📣 2025-04-20: AI4Finance Foundation Secures U.S. Trademark Registration for “AI4FINANCE”
| Metric | Value |
|---|---|
| 🌐 Page Views | 30+ Million |
| 📥 Total Downloads | 500,000+ |
| ⭐ Total GitHub Stars | 48,388 |
| 🍴 Total Forks | 10,196 |
| 👥 Monthly Active Users | 200,000+ |
| 📦 Total Repositories | 42 |
| 🏅 GitHub Ranking | #345 among 10,000 organizations worldwide |
| Rank | Repository | Stars | Forks | Description | Language |
|---|---|---|---|---|---|
| 🥇 | FinGPT |  |
2,551 | Open-Source Financial Large Language Models | Jupyter Notebook |
| 🥈 | FinRL |  |
3,019 | Financial Reinforcement Learning Framework | Jupyter Notebook |
| 🥉 | FinRobot |  |
814 | AI Agent Platform for Financial Analysis using LLMs | Jupyter Notebook |
| 4 | ElegantRL |  |
958 | Massively Parallel Deep Reinforcement Learning | Python |
| 5 | FinRL-Trading |  |
823 | Trading Implementation with FinRL | Jupyter Notebook |
| 6 | FinRL-Meta |  |
724 | Dynamic Datasets and Market Environments | Python |
| 7 | FinNLP |  |
482 | Natural Language Processing for Finance | Python |
| 8 | FinRL-Tutorials |  |
252 | Tutorials and Educational Resources | Jupyter Notebook |
| 9 | FinRL_Podracer |  |
114 | Cloud-Native FinRL for Massively Parallel Simulations | Python |
| 10 | Awesome_AI4Finance |  |
43 | Curated List of AI4Finance Resources | Markdown |
- Followers: 5,800+
- Discord Members: 3,714+
- Contributors: 100+
- Active Repositories: 42
- Open Issues: 500+ (community engagement)
- Total Commits: 10,000+
Disclaimer: The codes provided herein are released for academic purposes. They should not be construed as financial counsel or recommendations for live trading. It is imperative to exercise caution and consult with qualified financial professionals prior to any trading or investment actions.
