Reverse Dependencies of SALib

The following projects have a declared dependency on SALib:

• agentpy — Agent-based modeling in Python
• artap — Platform for robust design optimization
• besos — A library for Building and Energy Simulation, Optimization and Surrogate-modelling
• biosteam — The Biorefinery Simulation and Techno-Economic Analysis Modules
• BMSS — A package for dyanmic model analysis.
• CADETMatch — CADETMatch is a parameter estimation and error modeling library for CADET
• comets — CoMETS, the Cosmo Model Experimentation Toolbox, is a Python library for experimenting with numerical models and simulators
• commonroad-rl — Tools for applying reinforcement learning on commonroad scenarios.
• corrai — Data correction and Machine Learning
• dynsimf — Dynamic Network Simulation Framework
• easyvvuq — Library to facilitate simple Verification, Validation and Uncertainty Quantification of simulation codes
• EtaML — An automated machine learning platform with a focus on explainability
• f3dasm — f3dasm - Framework for Data-driven development and Analysis of Structures and Materials
• farn — n-dimensional case generator.
• fedot — Automated machine learning framework for composite pipelines
• flasc — FLASC provides a rich suite of analysis tools for SCADA data filtering & analysis, wind farm model validation, field experiment design, and field experiment monitoring.
• GPErks — A Python library to (bene)fit Gaussian Process Emulators.
• hpo-uq — Hyperparameter Optimization Tool using Surrogate Modeling and Uncertainty Quantification.
• ICUSIM — Intensive Care Unit (ICU) Simulation
• interpret-core — Fit interpretable machine learning models. Explain blackbox machine learning.
• iuwm — Forecasts municipal water demand with changes in population, land use, climate, water use behavior, and use of alternative sources of water.
• kinetics — Python code to run kinetic models of enzyme reactions
• lca-algebraic — This library provides a layer above brightway2 for defining parametric models and running super fast LCA for monte carlo analysis.
• lca-algebraic-dev — This library provides a layer above brightway2 for defining parametric models and running super fast LCA for monte carlo analysis.
• lestpy — Regression model with logical interactions
• lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
• mechanoChemML — A machine learning software library for computational materials physics
• mod16 — Python tools for MOD16 algorithm
• mod17 — Python tools for MOD17 algorithm
• NetLogoDOE — NetLogoDOE provides a GUI that allows for easy design, execution and analysis of NetLogo experiments
• omnixai — OmniXAI: An Explainable AI Toolbox
• optimeed — Framework for generating and manipulating data.
• petboa — Parameter Estimation using Bayesian Optimization
• pflacco — A Python implementation and extension to the R package flacco for computing ELA features.
• processoptim — Food Process Design
• psimpy — Predictive and probabilistic simulation tools.
• pycathy — pyCATHY is a Python package to create, run, and post-process CATHY forward and inverse models.
• pydrying — Drying simulation of solid products
• pymembrane — Food Process Design
• pymetamodels — The pymetamodels package combines machine learning (ML) metamodeling and analysis tools for the virtual development of modeling systems within a common abstract framework implemented in an accessible and distributable Python package. This package is oriented to support ML applications in material science, material informatics and the construction of materials, components and systems soft metamodels informed by hard physics-based modelling and experimental characterisations.
• pynoddy — Python wrappers for kinematic geological simulations with Noddy
• qsdsan — Quantitative Sustainable Design for sanitation and resource recovery systems
• Rhodium — Robust decision making and exploratory modelling in Python
• sabcom — SABCOM is an open source, easy-to-use, social network, agent-based, model that can be used to simulate the effects of different lockdown policy measures on the spread of the Covid-19 virus in several (South African) cities.
• sandu — High Level Sensitivity and Uncertainty (SandU) Analysis Tools.
• sbp-env — Motion planning environment for Sampling-based Planners
• sem — A Simulation Execution Manager for ns-3
• sequentPSS — algorithm for sequential parameter searching with GSA
• shamo — A tool for electromagnetic modelling of the head and sensitivity analysis.
• simdec — Sensitivity analysis using simulation decomposition
• sterope — Sterope: Sensitivity analysis of kappa Rule-Based Models based on Dynamic Influence Networks
• swiftemulator — Gaussian process emulator for creating synthetic model data across high dimensional parameter spaces, initially developed for use with the SWIFT simulation code.
• TEDEouS — TEDEouS - Torch Exhaustive Differential Equations Solver. Differential equation solver, based on pytorch library
• tikon — Modelos de redes agroecológicas
• WaterOptim — water pinch tool