Base package for the GeoStats.jl framework

Extreme value analysis package for Julia

Probability bounds analysis in Julia

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

Fixed Point Acceleration for Julia

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

Causal Inference with Invariant Prediction

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

Project Management tools, with a particular focus on PERT charts

Naive Bayes classifier

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities

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

Statistical bootstrap procedures for time-series data

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

Complex phase portraits for Julia.

Geospatial tables compatible with the GeoStats.jl framework

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

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Tools for the Simulation and Execution of Quantum Annealing Algorithms

Common types and interfaces for probabilistic programming

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

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

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

Kernel Density Estimate with product approximation using multiscale Gibbs sampling

Geothermal Cloud for Machine Learning

OpenMendel package for haplotyping and imputation

A playground for evolutionary computation in Julia

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

MCMC Inference for a Hawkes process in Julia

A tool to solve optimal control problem

Distances between heterogeneous tabular data

Julia MathML parser

Julia Package for Financial Monte Carlo Simulations

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Random Integrators for many-body quantum systems

Learning Algebraic Varieties from Samples

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

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

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.