59 Open source projects that are alternatives of or similar to sssMOR

pyMOR - Model Order Reduction with Python

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

R package for statistical inference using partially observed Markov processes

learning state-space targets in dynamical systems

Easy Reduced Basis method

Model reduction library with an emphasis on large scale parallelism and linear subspace methods

Large-Scale Flutter Reference Application. An Extension of DevonFw's My Thai Star Project

Globally Applicable Framework for Integrated Hydrological-Hydrodynamic Modelling (GLOFRIM)

egtplot: A python package for 3-Strategy Evolutionary Games

Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch

KFAS: R Package for Exponential Family State Space Models

Create, manipulate and convert representations of position and orientation in 2D or 3D using Python

Abstract operators for large scale optimization in Julia

C++ solution for the chinese postman problem

A low code learning project run with github actions

Website for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

An ice-flow model written in Matlab

Latent Differential Equations models in Julia.

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

FFHQR -- the first large-scale retouching dataset for computer vision research.

Simple implementations of chaotic maps in Processing

Generates large collages of images using OpenSeadragon

RaPId (a recursive acronym for "Rapid Parameter Identification") utilizes different optimization and simulation technologies to provide a framework for model validation and calibration of any kind of dynamical systems, but specifically catered to power systems.

Codac is a library for constraint programming over reals, trajectories and sets.

A Python Package For System Identification Using NARMAX Models

Tensor Train Toolbox

Simulation and visualization of articulated rigid body systems in Julia

Read, write and update large scale pandas DataFrame with Elasticsearch

Overlapping community detection in Large-Scale Networks using BigCLAM model build on Apache Spark

A MATLAB toolbox for classifier: Version 1.0.7

The set of smoothing functions used for time series analysis and in forecasting.

A Python package for spectral proper orthogonal decomposition (SPOD).

Continuous-time gradient flow for generative modeling and variational inference

Configurable ODE/PDE solver

Brain Dynamics Programming in Python

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

RBniCS - reduced order modelling in FEniCS

Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, DeiT, FaceViT.

State-space, age-structured fish stock assessment model

A framework for generalised dynamical systems modelling & simulation (inspired by and compatible with cadCAD.org)

Vue Js, 2 vue-cli large scale folder structure with vuex, vue-router, axios

Model reduction for linear and nonlinear dynamical systems: core C++ library

scGEAToolbox: Matlab toolbox for single-cell gene expression analyses

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Nonlinear Dynamics: A concise introduction interlaced with code

A complete 6DOF helicopter simulation (physics engine + visualization)

CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

Dynamical systems methods for RNA velocity analysis

A multi-body simulation software

Awesome list for Neural Network Optimization methods.

Accelerator Toolbox

Image Processing library for Matlab

A high-performance distributed training framework for Reinforcement Learning

Welcome to D-BAS! This is a prototype of our dialog-based argumentation system.

Las Vegas Reconstruction 2.0