Differentialequations.jlMulti-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
Stars: ✭ 2,023 (+6425.81%)
sssMORsssMOR - Sparse State-Space and Model Order Reduction Toolbox
Stars: ✭ 20 (-35.48%)
SciMLBenchmarks.jlBenchmarks for scientific machine learning (SciML) software and differential equation solvers
Stars: ✭ 195 (+529.03%)
DiffEqDevTools.jlBenchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
Stars: ✭ 37 (+19.35%)
multi-imbalancePython package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
Stars: ✭ 66 (+112.9%)
FactorGraph.jlThe 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.
Stars: ✭ 17 (-45.16%)
MongeAmpereFlowContinuous-time gradient flow for generative modeling and variational inference
Stars: ✭ 29 (-6.45%)
codacCodac is a library for constraint programming over reals, trajectories and sets.
Stars: ✭ 31 (+0%)
SGppSG⁺⁺ – the numerical library for Sparse Grids in all their variants.
Stars: ✭ 59 (+90.32%)
odex-jsBulirsch-Stoer integration of systems of ordinary differential equations in JavaScript
Stars: ✭ 52 (+67.74%)
DGM-and-DRMSeveral code for the paper: A comparison study of deep Galerkin method and deep Ritz method for elliptic problems with different boundary conditions
Stars: ✭ 15 (-51.61%)
T-ReqsT-Reqs is a multi-language requirements file generator which also serves the purpose of preparing a template Dockerfile for working with Docker applications.
Stars: ✭ 18 (-41.94%)
eomConfigurable ODE/PDE solver
Stars: ✭ 50 (+61.29%)
PyRatesOpen-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.
Stars: ✭ 33 (+6.45%)
BrainPyBrain Dynamics Programming in Python
Stars: ✭ 242 (+680.65%)
sysidentpyA Python Package For System Identification Using NARMAX Models
Stars: ✭ 139 (+348.39%)
hydro examplesSimple one-dimensional examples of various hydrodynamics techniques
Stars: ✭ 83 (+167.74%)
pymorpyMOR - Model Order Reduction with Python
Stars: ✭ 198 (+538.71%)
devsimTCAD Semiconductor Device Simulator
Stars: ✭ 104 (+235.48%)
adaptive-filtersMy collection of implementations of adaptive filters.
Stars: ✭ 32 (+3.23%)
diffeqrSolving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Stars: ✭ 118 (+280.65%)
pyGinitA simple github automation cli
Stars: ✭ 15 (-51.61%)
SBMLToolkit.jlSBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
Stars: ✭ 25 (-19.35%)
partial dependencePython package to visualize and cluster partial dependence.
Stars: ✭ 23 (-25.81%)
LatentDiffEq.jlLatent Differential Equations models in Julia.
Stars: ✭ 34 (+9.68%)
pydensPyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Stars: ✭ 201 (+548.39%)
RaPIdRaPId (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.
Stars: ✭ 35 (+12.9%)
moleMimetic Operators Library Enhanced
Stars: ✭ 15 (-51.61%)
heyokaC++ library for ODE integration via Taylor's method and LLVM
Stars: ✭ 151 (+387.1%)
PySPODA Python package for spectral proper orthogonal decomposition (SPOD).
Stars: ✭ 50 (+61.29%)
nim-mpfitA wrapper for the cMPFIT library for the Nim programming language, https://vindaar.github.io/nim-mpfit/
Stars: ✭ 18 (-41.94%)
DiffEqPhysics.jlA library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Stars: ✭ 46 (+48.39%)
Kinetic.jlUniversal modeling and simulation of fluid dynamics upon machine learning
Stars: ✭ 82 (+164.52%)
AMICIAdvanced Multilanguage Interface to CVODES and IDAS
Stars: ✭ 80 (+158.06%)
DiffEqCallbacks.jlA library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Stars: ✭ 43 (+38.71%)
MAESTROA low Mach number stellar hydrodynamics code
Stars: ✭ 29 (-6.45%)
parPEParameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
Stars: ✭ 16 (-48.39%)
SDEToolsMatlab Toolbox for the Numerical Solution of Stochastic Differential Equations
Stars: ✭ 80 (+158.06%)
DiffEqSensitivity.jlA component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
Stars: ✭ 186 (+500%)
teanaps자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.
Stars: ✭ 91 (+193.55%)
PyFRAPPyFRAP: A Python based FRAP analysis tool box
Stars: ✭ 15 (-51.61%)
Sundials.jlJulia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
Stars: ✭ 167 (+438.71%)
pompR package for statistical inference using partially observed Markov processes
Stars: ✭ 88 (+183.87%)
CellMLToolkit.jlCellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
Stars: ✭ 50 (+61.29%)
scikit ttTensor Train Toolbox
Stars: ✭ 52 (+67.74%)
chaotic-mapsSimple implementations of chaotic maps in Processing
Stars: ✭ 18 (-41.94%)
radCADA framework for generalised dynamical systems modelling & simulation (inspired by and compatible with cadCAD.org)
Stars: ✭ 59 (+90.32%)
cobaContextual bandit benchmarking
Stars: ✭ 29 (-6.45%)
PKPDsimSimulate PK-PD models defined as ODE systems
Stars: ✭ 24 (-22.58%)
heyoka.pyPython library for ODE integration via Taylor's method and LLVM
Stars: ✭ 45 (+45.16%)
RigidBodySim.jlSimulation and visualization of articulated rigid body systems in Julia
Stars: ✭ 63 (+103.23%)
ddeabmModern Fortran implementation of the DDEABM Adams-Bashforth algorithm
Stars: ✭ 23 (-25.81%)
TotalLeastSquares.jlSolve many kinds of least-squares and matrix-recovery problems
Stars: ✭ 23 (-25.81%)