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StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
This package provides a numerical method of applying linear noise approximation (LNA) to a given reaction system
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
Differentiable modelling on (multi)-GPUs workshop at JuliaCon23
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Julia Implementation of Transformer models
Complex neural network examples for Flux.jl
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
A python library for user-friendly forecasting and anomaly detection on time series.
Implementation of various ensemble Kalman Filter data assimilation methods in Julia
🦠🇩🇪📈 An API for the spread of covid-19 in Germany. Data from Robert-Koch-Institut.
A library of data interpolation and smoothing functions
Tools to specify and simulate individual based models, using applied category theory
ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.
Foundational tooling for handling collections of parameters in models
Approximate variational inference in Julia
A Julia framework for invertible neural networks
Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff
Solver for two-dimensional conservation equations using the finite volume method in Julia.
Exploratory analysis of Bayesian models with Julia
A tutorial on Julia DataFrames package
Fast and automatic structural identifiability software for ODE systems
The perfect sidekick to your scientific inquiries
Julia bindings for the Enzyme automatic differentiator