IBM / AI-DescartesLinks
Open source package for accelerated symbolic discovery of fundamental laws.
☆115Updated last month
Alternatives and similar repositories for AI-Descartes
Users that are interested in AI-Descartes are comparing it to the libraries listed below
Sorting:
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆37Updated last month
- A paper describing the implementation of PySR and SymbolicRegression.jl☆61Updated last year
- A computational framework for finding symbolic expressions from physical datasets.☆61Updated 2 years ago
- A toolkit with data-driven pipelines for physics-informed machine learning.☆189Updated last month
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆78Updated 11 months ago
- SciML Benchmarking Suite for AI for Science☆42Updated last year
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆177Updated 10 months ago
- Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX☆43Updated last year
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆71Updated last year
- Datasets and code for results presented in the BOON paper☆45Updated 2 years ago
- ☆30Updated 5 years ago
- SR based on LLMs.☆116Updated 2 years ago
- Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network☆79Updated last year
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆53Updated 3 years ago
- Datasets and code for results presented in the ProbConserv paper☆56Updated last year
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆92Updated last week
- Patched Attention for Nonlinear Dynamics☆159Updated last month
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- Fully and Partially Bayesian Neural Nets☆75Updated 6 months ago
- A living benchmark framework for symbolic regression☆275Updated last week
- ☆94Updated 6 months ago
- Code for Lie Symmetries SSL paper☆24Updated last year
- Gaussian Processes for Experimental Sciences☆228Updated 3 months ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆173Updated 2 years ago
- Tutorial notebooks for SciFM24☆11Updated last year
- Bayesian algorithm execution (BAX)☆51Updated 4 years ago
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆179Updated 3 months ago
- Forecasting high-impact research topics via machine learning on evolving knowledge graphs☆43Updated 6 months ago
- ☆67Updated last year
- Turning SymPy expressions into PyTorch modules.☆151Updated 2 years ago