A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.

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

Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

Time stepping for Gridap

Metaprogramming tools for JuliaDB

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

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

A Julia Package for Power System State Estimation.

Unitful and differentiable gravitational N-body simulation code in Julia

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

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

Julia implementations of global sensitivity analysis methods.

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

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

Variational quantum circuit simulator in Julia, under GPLv3

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

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

Julia package to perform quantum state and process tomography

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

Julia Toolkit with fairness metrics and bias mitigation algorithms

Generative Models with trainable conditional distributions in Julia!

Problem models for testing POMDPs.jl

BayesianNonparametrics in julia

Fast approximate high-dimensional hierarchical Bayesian inference

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

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

Common hyperparameter scheduling for ML

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

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

Differentiable matrix factorizations using ImplicitDifferentiation.jl.

Digital quantum circuit simulator written in Julia

Interpretable Machine Learning via Rule Extraction

A survival analysis interface for Julia

A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.

Neural Network based models for Natural Language Processing

Simulation of simple controls problems in Julia

Solvers for steady states in scientific machine learning (SciML)

Quantum dynamics simulation environment