houghb / savvyLinks
A tool to visualize high dimensionality sensitivity analysis data
☆47Updated 3 years ago
Alternatives and similar repositories for savvy
Users that are interested in savvy are comparing it to the libraries listed below
Sorting:
- Tutorials for Sensitivity Analysis using SALib☆34Updated 4 months ago
- Python Library for Robust Decision Making and Exploratory Modelling☆131Updated 2 weeks ago
- OpenMORDM is an open source R library for Multiobjective Robust Decision Making (MORDM)☆39Updated 9 years ago
- workbench for performing exploratory modeling and analysis☆134Updated this week
- Python package for sensor placement optimization☆68Updated 11 months ago
- ☆99Updated 2 years ago
- Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://…☆33Updated 8 years ago
- hacky way to bundle some edges in networkx and matplotlib☆20Updated 5 years ago
- Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020).☆48Updated 2 years ago
- This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Pla…☆82Updated 5 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- ☆73Updated 7 years ago
- enlopy is an open source python library with methods to generate, process, analyze, and plot energy related timeseries.☆47Updated 3 months ago
- Conventionally parameterized probability distributions☆35Updated 11 months ago
- Run and time jupyter notebooks☆12Updated 2 years ago
- Produce publication-level quality images on top of Matplotlib☆43Updated last year
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆51Updated last year
- A set of examples to optimize process simulators with Python (PSO) - PyConES 2016☆30Updated 8 years ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 6 years ago
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆228Updated 2 years ago
- MT-DREAM(ZS) algorithm for model optimization, calibration, selection☆54Updated 2 months ago
- A straightforward Bayesian data fitting library☆27Updated 10 months ago
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 3 years ago
- multilevel spatially-correlated variance components models☆18Updated last year
- Policy tree optimization: Heuristic policy search for control of dynamic systems. Uses genetic programming to develop binary trees relati…☆32Updated 3 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Statistical estimation of a clear sky signal from PV system power data☆31Updated 3 years ago
- Solve ODEs fast, with support for PyMC☆114Updated last year
- Random Forests for Conditional Density Estimation☆42Updated 4 years ago
- Matlab toolbox for dynamic linear models☆13Updated 4 years ago