Metaprogramming tools for JuliaDB

Time stepping for Gridap

Fast estimation of generalized linear models with high dimensional categorical variables in Julia

A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.

A Julia Package for Power System State Estimation.

Solving difference equations with DifferenceEquations.jl and the SciML ecosystem.

Initial look at directed acyclic graph (DAG) based causal models in regression.

Unitful and differentiable gravitational N-body simulation code in Julia

Julia implementations of global sensitivity analysis methods.

Routines for constructing BasisMatrices of different types (Chebyshev polynomials, B-Splines, piecewise linear, complete monomials, Smolyak...)

Variational quantum circuit simulator in Julia, under GPLv3

A Julia package for the detection of multiple changepoints in time series.

Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language

Find attractors (and their basins) of dynamical systems. Perform global continuation. Study global stability (a.k.a. non-local, or resilience). Also tipping points functionality.

Information between bits and bytes.

Autoregressive networks for protein

Solve many kinds of least-squares and matrix-recovery problems

Score-driven models, aka generalized autoregressive score models, in Julia

Julia Toolkit with fairness metrics and bias mitigation algorithms

Julia package to perform quantum state and process tomography

Common hyperparameter scheduling for ML

Fast approximate high-dimensional hierarchical Bayesian inference

Exploring the computational power of fermionic quantum systems. Ab initio computation and basis set optimization for electronic structure problems.

Problem models for testing POMDPs.jl

BayesianNonparametrics in julia

A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters

Huge-scale, high-performance flow cytometry clustering in Julia

Generative Models with trainable conditional distributions in Julia!

Composable contracts, models, and functions that allow for modeling of both simple and complex financial instruments

Interpretable Machine Learning via Rule Extraction

Differentiable matrix factorizations using ImplicitDifferentiation.jl.

A survival analysis interface for Julia

Neural Network based models for Natural Language Processing

Digital quantum circuit simulator written in Julia

Simulation of simple controls problems in Julia

Microeconometric estimation in Julia

Quantum dynamics simulation environment

A turbulence-convection single column model cloud parameterization.

Bayesian Linear Regression in Julia

A JuMP extension for probabilistic (chance) constraints