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binns

Biologically-informed neural networks

dammmodel.jl

Visualisation, output and fitting of the DAMM model

diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

dovsod_neuralodes

code for "Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows".

israd

Repository for the development and release of ISRaD data and tools

juliabyexample

Examples of Julia

land

Everything within the Land model (Soil Plant Atmosphere Module, Land Hydrology, etc)

methodoflines.jl

Automatic Finite Difference PDE solving with Julia SciML

modelingtoolkit.jl

A 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

neuralpde.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

rscape

R package for base respiration and Q10 estimation

science_guided_ml_chapter_co2diffusion

science_guided_ml_chapter_q10

sesam.jl

Soil Enzyme steady allocation model

spectral.methods

:exclamation: This is a read-only mirror of the CRAN R package repository. spectral.methods — Singular Spectrum Analysis (SSA) Tools for Time Series Analysis

test_marleen

universal_differential_equations

Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

worlddynamics.jl

An open-source framework written in Julia for global integrated assessment models.

yama.jl

Visualize loss landscape