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7 search results found

Modelingtoolkit.jl ⭐ 1,292

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

Diffeqbayes.jl ⭐ 119

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

Diffeqfinancial.jl ⭐ 23

Differential equation problem specifications and scientific machine learning for common financial models

Dissertation ⭐ 20

Zheng Zhao's doctoral dissertation from Aalto University

State-space deep Gaussian processes in Python and Matlab

Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes

Taylor moment expansion in Python (JaX and SymPy) and Matlab

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