-

Finite State Projection algorithms for chemical reaction networks

Physics-Enhanced Regression for Initial Value Problems

An implementation of PSIS algorithms in Julia.

Stratrigraphy simulation solver for the GeoStats.jl framework

Simulation tools for Mixed Models

Effects Prediction for Regression Models

An multi-platform spiking neural network simulator

General Relativistic Orbital Dynamics in Julia

-

🌾 declarative crop modeling framework

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

GPT-3 as a generative function in Gen.

WIP: Wrapper package for the sample method in Stan's cmdstan executable.

Clinical Trial related calculation: descriptive statistics, power and sample size calculation, randomization.

Julia package for multicellular modeling

-

A simulator for ecological dynamics written in Julia.

From Semiconductor to TransistorLevel Modeling in Julia

DynamicHMC versions of StatisticalRethinking models

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

Nonlinear regression in Julia

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

Gaussian distributions as state variables and for uncertainty quantification with Unitful

Bayesian inference on wiring diagrams.

Bayesian Information Gap Decision Theory

Julia utilities for handling VCF files

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

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.

A Julia extension package to Wavelets.jl

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

-

Solving unregularized optimal transport problems with Julia

Simulators for kite power systems

Representing machine learning models using mathematical programming

Empirical Bayes estimation and inference in Julia.

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

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

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

Working efficiently with datasets where observations have associated uncertainties.