Alternatives and similar repositories for SoRa

Users that are interested in SoRa are comparing it to the libraries listed below

• pygbe / pygbe
  PyGBe: Python, GPUs and Boundary elements for electrostatics
  ☆67Updated 2 years ago
• maroba / multipoles
  A Python package for multipole expansions of electrostatic or gravitational potentials
  ☆44Updated 11 months ago
• mathinmse / mathinmse.github.io
  Applied Mathematical Methods in Materials Engineering
  ☆27Updated last month
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆57Updated 7 years ago
• rajeshrinet / pygl
  PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl
  ☆28Updated 7 months ago
• josephbakarji / bucki-data
  Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
  ☆13Updated 3 years ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆29Updated last week
• LironSimon / SciMED
  A computational framework for finding symbolic expressions from physical datasets.
  ☆61Updated 2 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆28Updated 5 years ago
• parmoo / parmoo
  Python library for parallel multiobjective simulation optimization
  ☆83Updated 2 weeks ago
• VlachosGroup / renview
  The Reaction Network Viewer (ReNView) generates a graphic representation of the reaction fluxes within the system essential for identifyi…
  ☆22Updated last year
• usccolumbia / Awesome-Machine-learning-for-discovery-of-physical-laws
  A curated list of awesome resources on using machine learning and data science for discovery of physical laws
  ☆37Updated 5 years ago
• wackywendell / tess
  Python bindings to the voro++ library.
  ☆39Updated 2 years ago
• lanl / qmd-progress
  PROGRESS: Parallel, Rapid O(N) and Graph-based Recursive Electronic Structure Solver.
  ☆26Updated 2 weeks ago
• zwicker-group / py-droplets
  Python package for analyzing and representing droplets and emulsions
  ☆12Updated last week
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated 2 years ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆72Updated last year
• NERSC / sc19-dl-tutorial
  Hands-on material for the SC19 tutorial, Deep Learning at Scale
  ☆17Updated 6 years ago
• CCSI-Toolset / FOQUS
  FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates
  ☆48Updated 2 months ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆58Updated 4 years ago
• rajeshrinet / pystokes
  PyStokes: phoresis and Stokesian hydrodynamics in Python. github.com/rajeshrinet/pystokes
  ☆48Updated 8 months ago
• PV-Lab / bayesim
  Bayes for anything!
  ☆17Updated 2 years ago
• materialsinnovation / pymks
  Materials Knowledge System in Python
  ☆118Updated 2 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆88Updated last year
• libantioch / antioch
  C++ Chemical Kinetics, Thermodynaimics, and Transport Library
  ☆25Updated 3 years ago
• pyccel / sympde
  Symbolic calculus for partial differential equations (and variational forms)
  ☆24Updated 6 months ago
• inducer / numpde-notes
  Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs
  ☆22Updated last year
• luckystarufo / multiscale_HiTS
  ☆73Updated 5 years ago
• FEniCS / gsoc
  Numfocus Google Summer of Code Materials
  ☆13Updated last year
• vanderhe / fortnet
  Fortnet is a Behler-Parrinello-Neural-Network implementation, written in modern Fortran.
  ☆32Updated 10 months ago