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

Extreme value analysis package for Julia

Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem

Causal Inference with Invariant Prediction

Fixed Point Acceleration for Julia

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

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

Statistical bootstrap procedures for time-series data

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities

Naive Bayes classifier

Geospatial tables compatible with the GeoStats.jl framework

Complex phase portraits for Julia.

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

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

Tools for the Simulation and Execution of Quantum Annealing Algorithms

Geothermal Cloud for Machine Learning

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

Kernel Density Estimate with product approximation using multiscale Gibbs sampling

A playground for evolutionary computation in Julia

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

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

OpenMendel package for haplotyping and imputation

MCMC Inference for a Hawkes process in Julia

Julia MathML parser

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

Julia Package for Financial Monte Carlo Simulations

A tool to solve optimal control problem

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Distances between heterogeneous tabular data

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

Random Integrators for many-body quantum systems

Learning Algebraic Varieties from Samples

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

Flux reconstruction method for advection-diffusion type physics

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.

Generate and perturb protein structural ensembles using the ExProSE algorithm

Abstraction layer for spanning factor graphs over various technologies

Tools for simulating organism dispersal