BernhardAhrens's repositories
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
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
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