deep-symbolic-mathematics/Multimodal-Symbolic-Regression
[ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining
This tool helps scientists, engineers, and researchers discover the underlying mathematical equations from raw data observations. You provide numerical data, and it outputs the most likely symbolic mathematical formulas that describe the relationships within that data. It's designed for anyone who needs to reverse-engineer formulas from experimental or observational datasets.
No commits in the last 6 months.
Use this if you need to find simple, human-readable mathematical equations that accurately explain complex patterns in your numerical data, helping you understand the underlying phenomena.
Not ideal if you primarily need to forecast future values or classify data points without necessarily needing to understand the exact mathematical relationship.
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21
Forks
6
Language
Python
License
MIT
Category
Last pushed
Oct 21, 2024
Commits (30d)
0
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