dde
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The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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May 22, 2024 - Julia
The Base interface of the SciML ecosystem
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May 22, 2024 - Julia
The SciML Scientific Machine Learning Software Organization Website
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May 21, 2024 - CSS
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.
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May 22, 2024 - Julia
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
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May 22, 2024 - Julia
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
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May 19, 2024 - Julia
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
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May 18, 2024 - Python
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
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May 17, 2024 - Julia
Solvers for steady states in scientific machine learning (SciML)
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May 16, 2024 - Julia
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
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May 8, 2024 - Julia
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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May 6, 2024 - Julia
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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May 6, 2024 - Julia
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.
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May 6, 2024 - Julia
Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
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May 1, 2024 - Julia
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
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May 2, 2024 - Julia
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
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May 19, 2024 - Julia
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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Apr 29, 2024 - CSS
Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
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Apr 29, 2024 - Julia
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