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

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DynamicHMC versions of StatisticalRethinking models

GPT-3 as a generative function in Gen.

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

Differential-Independence Mixture Ensemble (DIME) MCMC sampling for Julia

Gaussian distributions as state variables and for uncertainty quantification with Unitful

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.

Julia package for multicellular modeling

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

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

Design scalable noise characterisation experiments for quantum computers

Continuous transformations from ℝ or ℝⁿ to various open sets

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✂️ Pooled CRISPR screen optimization tool

An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl

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

Implementation of the AIControl paper in Julia 1.0

Working efficiently with datasets where observations have associated uncertainties.

Simulators for kite power systems

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

Implementation of the MLJ scientific type convention

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

Analysis of Single Cell Expression data in Julia

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

Empirical Bayes estimation and inference in Julia.

Representing machine learning models using mathematical programming

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

Julia package for using Jags as an external program

Solving unregularized optimal transport problems with Julia

Uniform interface for machine learning in Julia

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

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

Inference for diffusion processes with the use of `Guided Proposals`

Statistical power analyses in Julia

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Package to analyse VIIRS nighttime lights

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

Dynamical models used within astrodynamics and orbital mechanics!

Kriging estimators for the GeoStats.jl framework