SJ001 / AI-FeynmanView external linksLinks
☆737Jul 9, 2024Updated last year
Alternatives and similar repositories for AI-Feynman
Users that are interested in AI-Feynman are comparing it to the libraries listed below
Sorting:
- ☆30Oct 12, 2020Updated 5 years ago
- A deep learning framework for symbolic optimization.☆707Jan 23, 2026Updated 3 weeks ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆776Nov 20, 2023Updated 2 years ago
- High-Performance Symbolic Regression in Python and Julia☆3,359Feb 5, 2026Updated last week
- A living benchmark framework for symbolic regression☆292Oct 21, 2025Updated 3 months ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Mar 24, 2023Updated 2 years ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆108Sep 2, 2025Updated 5 months ago
- a python 3 library based on deap providing abstraction layers for symbolic regression problems.☆94Oct 14, 2021Updated 4 years ago
- AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)☆35Feb 20, 2021Updated 4 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆35Feb 10, 2021Updated 5 years ago
- predicting equations from raw data with deep learning☆57Nov 7, 2018Updated 7 years ago
- Distributed High-Performance Symbolic Regression in Julia☆760Updated this week
- Genetic Programming in Python, with a scikit-learn inspired API☆1,809Jan 10, 2026Updated last month
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆42Apr 14, 2021Updated 4 years ago
- SR based on LLMs.☆127Nov 13, 2022Updated 3 years ago
- ☆19Jun 22, 2022Updated 3 years ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆56Nov 19, 2021Updated 4 years ago
- Lagrangian Neural Networks☆539Sep 24, 2025Updated 4 months ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,748Feb 6, 2026Updated last week
- A paper describing the implementation of PySR and SymbolicRegression.jl☆66Feb 5, 2024Updated 2 years ago
- Deep Learning for Symbolic Mathematics☆554Sep 1, 2021Updated 4 years ago
- ☆11Mar 31, 2021Updated 4 years ago
- ☆378Oct 15, 2021Updated 4 years ago
- Another Molecular String Representation☆10Jan 22, 2026Updated 3 weeks ago
- ☆174May 18, 2023Updated 2 years ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆57Sep 26, 2025Updated 4 months ago
- Physical Symbolic Optimization☆1,956Updated this week
- Equation Learner, a neural network approach to symbolic regression☆84Sep 24, 2024Updated last year
- Bayesian Optimization with multiple tiers of objectives, which can flexibly depend on model inputs and outputs☆11Sep 10, 2025Updated 5 months ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Jun 25, 2020Updated 5 years ago
- Blazing fast symbolic regresison☆76Oct 10, 2019Updated 6 years ago
- An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations☆817Nov 13, 2025Updated 3 months ago
- A differentiable PDE solving framework for machine learning☆1,806Feb 6, 2026Updated last week
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,705Dec 30, 2024Updated last year
- A library for scientific machine learning and physics-informed learning☆3,854Dec 12, 2025Updated 2 months ago
- Coarse-graining Hybrid and Inorganic Crystals (CHIC) is a Python package for automating the cleaning-up and coarse-graining of crystals a…☆14Nov 18, 2024Updated last year
- Open source package for accelerated symbolic discovery of fundamental laws.☆121Sep 17, 2025Updated 4 months ago
- Inverse materials design via invertible neural networks☆65Mar 20, 2023Updated 2 years ago
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,372Jan 23, 2026Updated 3 weeks ago