A flexible toolkit for simulation based inference in Julia

Estimation of calibration errors.

Differentiable JUlia ICE model

Adversarial attacks for Neural Networks written with FluxML

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays

MPS and MPO methods based on ITensor (ITensors.jl)

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

Ecosystem for writing partial differential equation solvers

Ecosystem for writing partial differential equation solvers

Reduced basis methods for parametrised eigenproblems

Julia implementation of the bond graph framework

Train and sample Restricted Boltzmann machines in Julia

Modern Hopfield layer implementations in Julia

A differentiable parametrization of a group of unitary matrices.

ModelWrappers.jl is a utility package that makes it easier to work with Model parameters stated as (nested) NamedTuples.

Adaptive stress testing of black-box systems within POMDPs.jl

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Is there anything we can't make Bayesian?

Experimental features for Flux.jl

A Julia package for estimating phylogenetic networks from genomic data

Exact reduction of ODE models via linear transformations

Julia package with several functions to train and analyze Autoencoder-based neural networks

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Library for the numerical simulation of open quantum systems.

Implementation of Integral Probability Measures in Julia

Backward-filtering forward-guiding with StochasticDiffEq.jl

Control barrier functions (CBFs) in Julia.

Sklearn Interface and Distributed Training for Flux.jl

A Tensor Network Library (TenNetLib.jl) built on top of ITensors.jl for quantum many-body problems.

Collection of layers that can perform arithmetic operations

Julia implementation of joint models combining longitudinal and survival endpoints

Common types and interface for discretizers of ModelingToolkit PDESystems.

Graph-building for AtomicGraphNets

Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith

Computing solutions to the frequency-domain radial Teukolsky equation with the Generalized Sasaki-Nakamura (GSN) formalism in julia

Istope-enabled implementation of the LWF-BROOK90 hydrological model in Julia

:spider: Non-Markovian stochastic SPIn (and harmonic oscillator) DYnamics.

Develop tools for ensemble Kalman filter

A Julia package for behavioural modeling