Motif-based weighted spectral clustering in Python, R and Julia

Probability bounds analysis in Julia

Project Management tools, with a particular focus on PERT charts

Causal Inference with Invariant Prediction

Express: a high-level, extensible workflow framework for accelerating ab initio calculations for the materials science community

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

Geospatial tables compatible with the GeoStats.jl framework

Differential equation problem specifications and scientific machine learning for common financial models

Fixed Point Acceleration for Julia

Statistical bootstrap procedures for time-series data

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities

Naive Bayes classifier

Complex phase portraits for Julia.

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

Builds conductance based neural networks iteratively, from ion channels and synapses

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Kernel Density Estimate with product approximation using multiscale Gibbs sampling

Tools for the Simulation and Execution of Quantum Annealing Algorithms

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

A Julia Package for Machine Learning on the Manifold of Positive Definite Matrices

Geothermal Cloud for Machine Learning

A playground for evolutionary computation in Julia

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

OpenMendel package for haplotyping and imputation

MCMC Inference for a Hawkes process in Julia

Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization

Julia MathML parser

Julia Package for Financial Monte Carlo Simulations

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A tool to solve optimal control problem

Random Integrators for many-body quantum systems

A Julia package for computing processes related to plant ecophysiology and biophysics

Learning Algebraic Varieties from Samples

Distances between heterogeneous tabular data

Generate and perturb protein structural ensembles using the ExProSE algorithm

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

Building blocks for simple and advanced particle filtering in Gen.

Flux reconstruction method for advection-diffusion type physics

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net