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#sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you...
python Parameter EStimation TOolbox
Probabilistic Inference on Noisy Time Series
#计算机科学#A system for scientific simulation-based inference at scale.
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
Workflow engine for exploration of simulation models using high throughput computing
State estimation, smoothing and parameter estimation using Kalman and particle filters.
Fast and automatic structural identifiability software for ODE systems
High-performance sensitivity analysis for large ordinary differential equation models
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)
A library for using direct collocation in the optimization of dynamic systems.
#计算机科学#MADS: Model Analysis & Decision Support
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
FMI-compliant Model Estimation in Python