Alternatives and similar repositories for sode

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

• wesselb / fdm
  Estimate derivatives with finite differences
  ☆17Updated last year
• numericalalgorithmsgroup / dfols
  Python-based Derivative-Free Optimizer for Least-Squares
  ☆43Updated 3 weeks ago
• sigma-py / ndim
  Compute multidimensional volumes and monomial integrals.
  ☆22Updated last year
• redmod-team / profit
  Probabilistic Response mOdel Fitting with Interactive Tools
  ☆15Updated 3 weeks ago
• scikit-monaco / scikit-monaco
  Python routines for Monte Carlo integration. Written in Cython and Python for fast computations. @Naereen knows the installation is broke…
  ☆32Updated 8 months ago
• Quansight-Labs / udiff
  Automatic differentiation with uarray/unumpy.
  ☆16Updated 4 years ago
• sigma-py / smoothfit
  Smooth data fitting in N dimensions.
  ☆55Updated 2 years ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated 2 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆61Updated 8 years ago
• michaelnowotny / cocos
  Numeric and scientific computing on GPUs for Python with a NumPy-like API
  ☆93Updated 4 years ago
• andrenarchy / krypy
  Krylov subspace methods package for Python
  ☆107Updated last year
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆53Updated 9 months ago
• PythonOptimizers / pykrylov
  A library of Krylov methods in pure Python
  ☆64Updated 3 years ago
• pypmc / pypmc
  Clustering with variational Bayes and population Monte Carlo
  ☆51Updated 2 months ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆88Updated last year
• inducer / numpde-notes
  Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs
  ☆22Updated last year
• rocketmlhq / sciml
  Scientific Machine Learning Tutorials
  ☆40Updated 4 years ago
• pyccel / sympde
  Symbolic calculus for partial differential equations (and variational forms)
  ☆25Updated 3 weeks ago
• jeffrey-hokanson / PSDR
  Parameter space dimension reduction toolbox
  ☆14Updated 3 years ago
• scikit-umfpack / scikit-umfpack
  The umfpack scikit provides wrapper of UMFPACK sparse direct solver to SciPy.
  ☆58Updated 4 months ago
• pnnl / slim
  Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
  ☆18Updated 2 years ago
• ORNL / TASMANIAN
  The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
  ☆72Updated last week
• seanherron / orbit
  Python module that gives current information about orbital objects of interest
  ☆12Updated 3 years ago
• pdfo / pdfo
  Powell's Derivative-Free Optimization solvers.
  ☆108Updated 8 months ago
• champsproject / lagrangian_descriptors
  Repo to host book about Lagrangian Descriptors technique
  ☆16Updated 2 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• IvanYashchuk / fenics-pymc3
  Differentiable interface to FEniCS for PyMC3
  ☆22Updated 3 years ago
• juliusberner / oberwolfach_workshop
  Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
  ☆17Updated 2 years ago
• michelemartone / pyrsb
  PyRSB: a Python interface to the librsb Sparse Matrix library
  ☆19Updated 3 years ago