LLNL / SoRa
SoRa uses genetic programming to find mathematical representations from experimental data
☆25Updated 6 years ago
Alternatives and similar repositories for SoRa:
Users that are interested in SoRa are comparing it to the libraries listed below
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 4 years ago
- PyGBe: Python, GPUs and Boundary elements for electrostatics☆67Updated last year
- Python bindings to the voro++ library.☆37Updated 2 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- Finite difference weights for any derivative order on arbitrarily spaced grids. C89, C++ and Fortran 90 implementations with Python bindi…☆40Updated 11 months ago
- Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations☆10Updated 5 years ago
- Python wrapper generator for Fortran☆32Updated 2 months ago
- Book on Chemical Reactions and Dynamical Systems☆14Updated 2 years ago
- PyStokes: phoresis and Stokesian hydrodynamics in Python. github.com/rajeshrinet/pystokes☆47Updated 2 weeks ago
- An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py☆61Updated 3 years ago
- Python package for analyzing and representing droplets and emulsions☆12Updated 3 weeks ago
- Topological Analysis for Molecular Systems☆17Updated 6 years ago
- PROGRESS: Parallel, Rapid O(N) and Graph-based Recursive Electronic Structure Solver.☆22Updated last week
- Python bindings to pressio☆10Updated 2 years ago
- Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs☆19Updated last year
- Python 3 version of FabSim☆26Updated 3 weeks ago
- Examples in PyAMG☆26Updated 7 months ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆11Updated 3 years ago
- predicting equations from raw data with deep learning☆57Updated 6 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- A Python package for multipole expansions of electrostatic or gravitational potentials☆43Updated 4 months ago
- Mixed graph Laplacian upscaling and solvers☆13Updated 3 months ago
- Symbolic regression by uniform random global search☆13Updated last year
- MGmol is a scalable O(N) First-Principles Molecular Dynamics code that is capable of performing large-scale electronics structure calcula…☆43Updated last week
- A python package for producing publication quality images using matplotlib.☆98Updated 4 years ago
- Hands-on material for the SC19 tutorial, Deep Learning at Scale☆18Updated 5 years ago
- Differentiable interface to FEniCS for PyMC3☆20Updated 2 years ago
- generative neural network trained with physics knowledge☆14Updated 4 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago