MilesCranmer / pysr_paper
A paper describing the implementation of PySR and SymbolicRegression.jl
☆55Updated last year
Alternatives and similar repositories for pysr_paper:
Users that are interested in pysr_paper are comparing it to the libraries listed below
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆33Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- ☆62Updated 8 months ago
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆31Updated 9 months ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 4 years ago
- ☆19Updated 2 years 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.☆60Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆24Updated 6 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
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- ☆29Updated 6 years ago
- ☆29Updated 2 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆39Updated 4 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated last week
- Equation Learner, a neural network approach to symbolic regression☆77Updated 7 months ago
- ☆32Updated last year
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆52Updated 3 weeks ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆111Updated last month
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆58Updated last year
- Open source package for accelerated symbolic discovery of fundamental laws.☆110Updated last year
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆74Updated 2 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆29Updated last year
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆30Updated 7 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- a collection of modern sparse (regularized) linear regression algorithms.☆61Updated 4 years ago