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

Julia package for using Jags as an external program

Representing machine learning models using mathematical programming

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Continuous transformations from ℝ or ℝⁿ to various open sets

Time-aware lags and leads in panel data.

A computational graph for time-series processing.

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

Uniform interface for machine learning in Julia

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

A Julia Library for DC to Daylight

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

An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia

Toolkit for analysis of radiation spectra in Julia

A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?

Kriging estimators for the GeoStats.jl framework

LogDensityProblems implementation for Stan models

A simulation engine for models related to plants

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

Adversarial attacks for Neural Networks written with FluxML

Simple, blazing fast, message-passing graph neural network.

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Julia package for microstructure imaging

A flexible toolkit for simulation based inference in Julia

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Status: Technical Preview

Differentiable JUlia ICE model

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

A Julia package for Differential Evolution MCMC

Modern Hopfield layer implementations in Julia

High performance cyclic ray tracing algorithm for neutron transport in Julia.

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Convenient functions for working with panel (longitudinal) data in Julia

Trust region methods for nonlinear systems of equations in Julia.

Measures (metrics) for statistics and machine learning

A differentiable parametrization of a group of unitary matrices.

Structure-preserving numerical methods for dispersive shallow water models

Discrete choice/random utility models in Julia

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Is there anything we can't make Bayesian?