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.

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

A Julia Package for Power System State Estimation.

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

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

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

Variational quantum circuit simulator in Julia, under GPLv3

Unitful and differentiable gravitational N-body simulation code in Julia

Julia implementations of global sensitivity analysis methods.

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

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

Common hyperparameter scheduling for ML

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

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

Fast approximate high-dimensional hierarchical Bayesian inference

Generative Models with trainable conditional distributions in Julia!

Problem models for testing POMDPs.jl

Julia package to perform quantum state and process tomography

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

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.

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

Autoregressive networks for protein

BayesianNonparametrics in julia

Julia Toolkit with fairness metrics and bias mitigation algorithms

Information between bits and bytes.

DPFEHM: A Differentiable Subsurface Flow Simulator

Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers

Quantum dynamics simulation environment

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.

Bayesian Linear Regression in Julia

Differentiable matrix factorizations using ImplicitDifferentiation.jl.

Trajectory simulations for point particles in Ocean, Atmosphere, etc flow fields

Interpretable Machine Learning via Rule Extraction

Neural Network based models for Natural Language Processing

Auto differentiation over linear algebras (a Zygote extension)

A survival analysis interface for Julia

Microeconometric estimation in Julia