GeoInterface-based geometry operations

Easily log timing info in the presence of parallelism

Embed Stata operations on Julia DataFrames

A framework (not only) for large-scale agent-based models

Tools for working with metadata of Tables.jl tables in Julia.

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Julia bindings for the fst format

An implementation of PSIS algorithms in Julia.

Probabilistic inference using contraction of tensor networks

Physics-Enhanced Regression for Initial Value Problems

General Relativistic Orbital Dynamics in Julia

A Julia interface for retrieving data from the Bureau of Economic Analysis (BEA).

A general purpose numerical simulator supporting nested dynamical systems and a convenient macro-based data logger.

🌾 declarative crop modeling framework

An multi-platform spiking neural network simulator

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

Schemata for tabular data sets in Julia.

Utilities for characterizing sources in astronomical images.

A generic FEM solver by meta-expressions

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ACSets: Algebraic databases as in-memory data structures

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

Remote sensing data processing

GPT-3 as a generative function in Gen.

Nonlinear regression in Julia

Interface to the RobotLocomotion Drake Visualizer tool from Julia

📊 A Julia package that summarises tabular data in the REPL

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Recommender System framework for Julia

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

A Julia package for extracting mutation signatures using topic models

Let the AI fix your mistakes.

Julia package for multicellular modeling

From Semiconductor to TransistorLevel Modeling in Julia

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Bayesian inference on wiring diagrams.

Microscopic Markov Chain Approach to model the spreading of COVID-19

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.

Useful tools for working with isometric or unitary tensors

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