IvanYashchuk / fenics-pymc3Links
Differentiable interface to FEniCS for PyMC3
☆22Updated 2 years ago
Alternatives and similar repositories for fenics-pymc3
Users that are interested in fenics-pymc3 are comparing it to the libraries listed below
Sorting:
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated last year
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Solve ODEs fast, with support for PyMC☆117Updated last year
- ☆100Updated 2 weeks ago
- Python implementation of chebfun☆100Updated 5 months ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated 2 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆103Updated last year
- Krylov subspace methods package for Python☆107Updated 10 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆132Updated last year
- The umfpack scikit provides wrapper of UMFPACK sparse direct solver to SciPy.☆57Updated last month
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆81Updated last week
- PseudoPy computes and visualizes the pseudospectrum of a matrix☆27Updated 6 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- Dynamic Mode Decomposition☆60Updated 8 years ago
- The ODES scikit for ordinary differential and algebraic equations, an extension to scipy☆128Updated 9 months ago
- Manifold Markov chain Monte Carlo methods in Python☆234Updated last month
- Analysis of initial value ODE solvers☆82Updated last year
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated this week
- 1D-1V Vlasov-Poisson(-Fokker-Planck), Plasma Physics PDE Simulation Tool in NumPy and experiment management in MLFlow☆34Updated last year
- Scientific Machine Learning Tutorials☆39Updated 3 years ago
- A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing.☆25Updated last year
- ☆50Updated this week
- Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs☆21Updated last year
- Some useful extensions for NumPy☆29Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A library for high-level algorithmic differentiation☆19Updated this week
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- Sandia Uncertainty Quantification Toolkit☆84Updated 10 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year