Embed Stata operations on Julia DataFrames

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General Relativistic Orbital Dynamics in Julia

Load the Palmer penguins dataset in Julia.

Effects Prediction for Regression Models

An opinionated layer on top of FFTW.jl to provide simpler FFTs for everyone.

Spiral engraving effect

An multi-platform spiking neural network simulator

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GeoInterface-based geometry operations

Easily optimize generic performance metrics in differentiable learning.

A package for expressing and automatically proving logical statements symbolically in Julia

Pull data from the Bureau of Labor Statistics (BLS) directly into Julia

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

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Let the AI fix your mistakes.

A Julia wrapper for cusolverRF

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Schemata for tabular data sets in Julia.

GPT-3 as a generative function in Gen.

A Julia wrapper of Python's lale automl package

Methods for profile likelihood analysis.

ACSets: Algebraic databases as in-memory data structures

Bayesian Information Gap Decision Theory

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

Useful tools for working with isometric or unitary tensors

FMIImport.jl implements the import functionalities of the FMI-standard (fmi-standard.org) for the Julia programming language. FMIImport.jl provides the foundation for the Julia packages FMI.jl and FMIFlux.jl.

A Julia package for extracting mutation signatures using topic models

Bayesian inference on wiring diagrams.

Simple, blazing fast, transformer components.

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

An optimization library for the operation and restoration of electric power distribution feeders featuring networked microgrids

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A generic FEM solver by meta-expressions

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Remote sensing data processing

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

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

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.

Nonlinear regression in Julia