Alternatives and similar repositories for SoRa:

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

• lanl / qmd-progress
  PROGRESS: Parallel, Rapid O(N) and Graph-based Recursive Electronic Structure Solver.
  ☆20Updated last week
• bjodah / finitediff
  Finite difference weights for any derivative order on arbitrarily spaced grids. C89, C++ and Fortran 90 implementations with Python bindi…
  ☆40Updated 8 months ago
• rajeshrinet / pygl
  PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl
  ☆27Updated 11 months ago
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆25Updated last year
• lbl-camera / fvGP
  A software package for flexible HPC GPs
  ☆14Updated 2 months ago
• wackywendell / tess
  Python bindings to the voro++ library.
  ☆36Updated last year
• bjodah / pyodeint
  Python wrapper around odeint (from the boost C++ library)
  ☆20Updated 2 weeks ago
• dpgrote / Forthon
  Python wrapper generator for Fortran
  ☆32Updated 5 months ago
• maroba / multipoles
  A Python package for multipole expansions of electrostatic or gravitational potentials
  ☆41Updated last month
• aeftimia / kahler
  Discrete Exterior Calculus
  ☆13Updated 10 years ago
• LLNL / TopoMS
  Topological Analysis for Molecular Systems
  ☆17Updated 5 years ago
• pygbe / pygbe
  PyGBe: Python, GPUs and Boundary elements for electrostatics
  ☆66Updated last year
• Romit-Maulik / PyParSVD
  An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py
  ☆57Updated 3 years ago
• peterparity / conservation-laws-manifold-learning
  Discovering Conservation Laws using Optimal Transport and Manifold Learning
  ☆17Updated last year
• tumaer / SITE
  Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations
  ☆10Updated 5 years ago
• LironSimon / SciMED
  A computational framework for finding symbolic expressions from physical datasets.
  ☆57Updated last year
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆55Updated 6 years ago
• pele-python / mcpele
  Monte Carlo and parallel tempering routines built on the pele foundation
  ☆21Updated last year
• NERSC / sc19-dl-tutorial
  Hands-on material for the SC19 tutorial, Deep Learning at Scale
  ☆17Updated 5 years ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆26Updated 6 months ago
• Technologicat / pydgq
  ODE system solver using dG(q), time-discontinuous Galerkin with Lobatto basis.
  ☆15Updated 7 years ago
• samuelsmal / pde_deep_learning
  ☆8Updated 5 years ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 4 years ago
• LLNL / mgmol
  MGmol is a scalable O(N) First-Principles Molecular Dynamics code that is capable of performing large-scale electronics structure calcula…
  ☆43Updated this week
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆26Updated 4 years ago
• com-py / compy
  "Computational modeling and visualization" resource repository
  ☆29Updated last year
• lbluque / fmm
  Fast Multipole Method in Python
  ☆33Updated 5 years ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆33Updated last year
• juliusberner / Deep-Multilevel-Kolmogorov-PDE-Solver
  Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation
  ☆12Updated 3 years ago
• idaholab / SPPARKS
  Kinetic Monte Carlo Simulator
  ☆30Updated 4 years ago