simetenn / uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
☆230Updated 2 years ago
Alternatives and similar repositories for uncertainpy
Users that are interested in uncertainpy are comparing it to the libraries listed below
Sorting:
- Chaospy - Toolbox for performing uncertainty quantification.☆461Updated 2 months ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated last month
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆315Updated last month
- This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Pla…☆81Updated 4 years ago
- python Parameter EStimation TOolbox☆241Updated this week
- Python implementation of MATLAB toolbox "mcmcstat"☆71Updated 2 years ago
- Probabilistic Inference on Noisy Time Series☆236Updated 3 months ago
- Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.☆920Updated 3 weeks ago
- Introduction to Uncertainty Quantification☆248Updated 3 years ago
- Methods for numerical differentiation of noisy data in python☆114Updated 2 months ago
- Real-time latin-hypercube sampling-based Monte Carlo ERror Propagation☆77Updated 2 years ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆94Updated 2 weeks ago
- Probabilistic modelling and uncertainty quantification library☆265Updated this week
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- Optimal numerical differentiation of noisy time series data in python.☆62Updated last month
- PySensors is a Python package for sparse sensor placement☆90Updated last week
- Solve ODEs fast, with support for PyMC☆112Updated 11 months ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆235Updated last year
- distributed, likelihood-free inference☆214Updated 6 months ago
- Python Active-subspaces Utility Library☆72Updated 4 years ago
- ☆100Updated last year
- Design of experiments for Python☆283Updated 3 years ago
- Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data☆72Updated 4 years ago
- Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/☆159Updated last year
- constrained nonlinear optimization for scientific machine learning, UQ, and AI☆480Updated 2 weeks ago
- A list of Python-based MCMC & ABC packages☆123Updated 11 months ago
- Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler☆117Updated last week
- Symbolic Fitting; fitting as it should be.☆242Updated last year
- ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.☆290Updated 4 months ago
- The ODES scikit for ordinary differential and algebraic equations, an extension to scipy☆125Updated 4 months ago