MilesCranmer / pysr_paper
A paper describing the implementation of PySR and SymbolicRegression.jl
☆54Updated last year
Alternatives and similar repositories for pysr_paper:
Users that are interested in pysr_paper are comparing it to the libraries listed below
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆29Updated 8 months ago
- ☆60Updated 7 months ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆32Updated last year
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆39Updated 3 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆77Updated 5 months ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆23Updated 6 years ago
- Symbolic Regression using MCMC sampling☆26Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 4 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆72Updated 2 months ago
- ☆72Updated 4 years ago
- ☆15Updated 2 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆66Updated 4 months ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆14Updated 2 years ago
- A computational framework for finding symbolic expressions from physical datasets.☆58Updated last year
- ☆21Updated 4 years ago
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆49Updated this week
- ☆31Updated last year
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆104Updated this week
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- ☆19Updated 2 years ago
- Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX☆38Updated last year
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆11Updated 3 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆70Updated last year
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆27Updated last year