Topic: sciml Goto Github
Some thing interesting about sciml
Some thing interesting about sciml
sciml,A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
User: akio-tomiya
Home Page: https://github.com/akio-tomiya/LatticeQCD.jl
sciml,Code accompanying my blog post: So, what is a physics-informed neural network?
User: benmoseley
sciml,Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
User: chrisrackauckas
Home Page: https://arxiv.org/abs/2001.04385
sciml,Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
Organization: juliaarrays
sciml,Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
User: levimcclenny
Home Page: https://arxiv.org/abs/2009.04544
sciml,Distributed High-Performance Symbolic Regression in Julia
User: milescranmer
Home Page: https://astroautomata.com/SymbolicRegression.jl/dev/
sciml,18.S096 - Applications of Scientific Machine Learning
Organization: mitmath
sciml,PDEBench: An Extensive Benchmark for Scientific Machine Learning
Organization: pdebench
sciml,Automatic optimization and parallelization for Scientific Machine Learning (SciML)
Organization: sciml
Home Page: https://benchmarks.sciml.ai/
sciml,Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Organization: sciml
Home Page: https://docs.sciml.ai/Catalyst/stable/
sciml,Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Organization: sciml
Home Page: https://docs.sciml.ai/DataDrivenDiffEq/stable/
sciml,The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Organization: sciml
sciml,Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqBayes/stable/
sciml,A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqCallbacks/stable/
sciml,Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqDocs/stable/
sciml,GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqGPU/stable/
sciml,Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqOperators/stable/
sciml,Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Organization: sciml
sciml,Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Organization: sciml
sciml,Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqDocs/stable/
sciml,Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.
Organization: sciml
Home Page: https://docs.sciml.ai/ExponentialUtilities/stable/
sciml,A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Organization: sciml
Home Page: https://docs.sciml.ai/FEniCS/stable/
sciml,A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Organization: sciml
Home Page: https://docs.sciml.ai/Integrals/stable/
sciml,Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/JumpProcesses/stable/
sciml,Arrays which also have a label for each element for easy scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/LabelledArrays/stable/
sciml,LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
Organization: sciml
Home Page: https://docs.sciml.ai/LinearSolve/stable/
sciml,Automatic Finite Difference PDE solving with Julia SciML
Organization: sciml
Home Page: https://docs.sciml.ai/MethodOfLines/stable/
sciml,An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
Organization: sciml
Home Page: https://mtk.sciml.ai/dev/
sciml,A standard library of components to model the world and beyond
Organization: sciml
Home Page: https://docs.sciml.ai/ModelingToolkitStandardLibrary/stable/
sciml,A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Organization: sciml
Home Page: https://docs.sciml.ai/MultiScaleArrays/stable/
sciml,A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
Organization: sciml
Home Page: https://docs.sciml.ai/NBodySimulator/stable/
sciml,Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Organization: sciml
Home Page: https://docs.sciml.ai/NeuralPDE/stable/
sciml,High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Organization: sciml
Home Page: https://docs.sciml.ai/NonlinearSolve/stable/
sciml,Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
Organization: sciml
sciml,Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Organization: sciml
Home Page: https://docs.sciml.ai/Optimization/stable/
sciml,High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Organization: sciml
Home Page: https://diffeq.sciml.ai/latest/
sciml,A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
Organization: sciml
Home Page: https://docs.sciml.ai/ParameterizedFunctions/stable/
sciml,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)
Organization: sciml
Home Page: https://docs.sciml.ai/QuasiMonteCarlo/stable/
sciml,Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
Organization: sciml
Home Page: https://docs.sciml.ai/RecursiveArrayTools/stable/
sciml,Reservoir computing utilities for scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/ReservoirComputing/stable/
sciml,The Base interface of the SciML ecosystem
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLBase/stable
sciml,Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLBenchmarksOutput/stable/
sciml,Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Organization: sciml
Home Page: https://book.sciml.ai/
sciml,A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLSensitivity/stable/
sciml,A style guide for stylish Julia developers
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLStyle/stable/
sciml,Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Organization: sciml
Home Page: https://tutorials.sciml.ai
sciml,Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Organization: sciml
sciml,Julia 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
Organization: sciml
Home Page: https://diffeq.sciml.ai
sciml,Surrogate modeling and optimization for scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/Surrogates/stable/
sciml,Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
User: vavrines
Home Page: https://xiaotianbai.com/Kinetic.jl/dev
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.