Francesco Martinuzzi's repositories
CellularAutomata.jl
Cellular automata creation and analysis tools
awesome-scientific-machine-learning
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
NeuralBasisExpansions.jl
Julia (Flux) implementation of NBeats
reservoir-computing-examples
Scripts for the examples in the ReservoirComputing.jl documentation
spectralindices-handson
Material for the SpectralIndices.jl tutorial
awesome-ASI
A curated list of Awesome Spectral Indices (ASI) resources
awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
CommonSolve.jl
A common solve function for scientific machine learning (SciML) and beyond
ComplexityMeasures.jl
Estimators for probabilities, entropies, and other complexity measures derived from observations in the context of nonlinear dynamics and complex systems
DiffEqNoiseProcess.jl
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
DynamicalSystemsBase.jl
Definition of dynamical systems and integrators for DynamicalSystems.jl
dysts
More than a hundred strange attractors
ESDL.jl
Julia interface for Reading from the Earth System Datacube
LinearSolve.jl
LinearSolve.jl: High-Performance Unified Linear Solvers
Lux.jl
Explicitly Parameterized Neural Networks in Julia
LuxCore.jl
LuxCore.jl defines the abstract layers for Lux. Allows users to be compatible with the entirely of Lux.jl without having such a heavy dependency.
MartinuzziFrancesco
readme
MartinuzziFrancesco.github.io
Personal website at https://martinuzzifrancesco.github.io/
MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
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
OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
PredefinedDynamicalSystems.jl
Collection of predefined dynamical systems for DynamicalSystems.jl
RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
sciml.ai
The SciML Scientific Machine Learning Software Organization Website
simulai
A toolkit with data-driven pipelines for physics-informed machine learning.
spyndex
Awesome Spectral Indices in Python.
Static.jl
Static types useful for dispatch and generated functions.
StochasticDiffEq.jl
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem