by deep-symbolic-mathematics · Agent Tool · ★ 214
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[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
| Stars | 214 |
| Forks | 44 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 37.25/100 |
| Open Issues | 7 |
| Last Updated | 2025-07-31 |
| Created | 2024-04-19 |
| Platforms | python |
| Est. Tokens | ~598k |
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LLM-SR is [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models. It is categorized as a Agent Tool with 214 GitHub stars.
LLM-SR is primarily written in Python. It covers topics such as ai4code, ai4math, ai4science.
You can find installation instructions and usage details in the LLM-SR GitHub repository at github.com/deep-symbolic-mathematics/LLM-SR. The project has 214 stars and 44 forks, indicating an active community.
LLM-SR is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to LLM-SR on Agent Skills Hub include PairCoder, Awesome-LLM-in-Social-Science, bigcodebench. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.