A package for temporal point process modeling, simulation and inference (unmaintained)

Julia utilities for handling VCF files

Gaussian distributions as state variables and for uncertainty quantification with Unitful

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Methods for profile likelihood analysis.

Julia package for multicellular modeling

A package to calculate ensemble averaged waves in heterogeneous materials. The focus is on wave propagation, scattering, and reflection, from particulate and porous materials.

Julia's HPC command for automatic feature/model selection using all-subset-regression approaches

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A simulator for ecological dynamics written in Julia.

MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

DynamicHMC versions of StatisticalRethinking models

Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection

Nonlinear regression in Julia

Implementation of the MLJ scientific type convention

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

Supports approximating functions and solving differential equations on various higher dimensional domains such as disks and triangles

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✂️ Pooled CRISPR screen optimization tool

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

High-fidelity orbit determination and propagation for Near-Earth Objects, in Julia

Analysis of Single Cell Expression data in Julia

Source code for https://nature.com/articles/s41467-019-10933-3

Implementation of the AIControl paper in Julia 1.0

Continuous transformations from ℝ or ℝⁿ to various open sets

Simulators for kite power systems

Core interface to design, solve, and simulate trajectory games.

Surrogate modeling package in Julia using radial basis functions for use in optimisation.

Design scalable noise characterisation experiments for quantum computers

Diffusion MRI Simulation Toolbox in Julia

Mixed complementarity problems parameterized by "runtime"-parameters with support for implicit differentiation.

Solving unregularized optimal transport problems with Julia

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A Julia package that implements a category of reaction (transportation) network-type dynamical systems.

Representing machine learning models using mathematical programming

Empirical Bayes estimation and inference in Julia.

Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank decomposition.

Uniform interface for machine learning in Julia

Tools for chemometrics and machine learning on high-dimensional data (e.g. Partial least squares regression/discrimination)

Julia package for using Jags as an external program