CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-c...
#计算机科学#Simulation-based inference toolkit
#计算机科学#A Python library for amortized Bayesian workflows using generative neural networks.
python Parameter EStimation TOolbox
Probabilistic Inference on Noisy Time Series
#计算机科学#A system for scientific simulation-based inference at scale.
Workflow engine for exploration of simulation models using high throughput computing
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
#时序数据库#System Identification toolbox, compatible with ControlSystems.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
Advanced Multilanguage Interface to CVODES and IDAS
Fast and automatic structural identifiability software for ODE systems
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis te...
Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
#计算机科学#MADS: Model Analysis & Decision Support
A library for using direct collocation in the optimization of dynamic systems.
Framework for dynamical system identification of floating-base rigid body tree structures
PEtab - an SBML and TSV based data format for parameter estimation problems in systems biology
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
a modeling environment tailored to parameter estimation in dynamical systems