Julia utilities for interacting with biomedical databases and biomedical application programming interfaces (APIs)

StateSpaceLearning.jl is a Julia package for time-series analysis using state space learning framework.

Package to analyse VIIRS nighttime lights

Plotting tools for Unfold.jl based on Makie.jl and AlgebraOfGraphics.jl

A convenient package for working with time series (time-indexed arrays)

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

Monte Carlo Simulation and Business Analysis tools for Julia

Tidier text analysis in Julia, modeled after the tidytext R package.

Display utilities for phylogenetic trees and networks

Julia implementation of ADMM solver on multiple GPUs

Analysis of Variance for Julia, the old-fashioned way.

Collection of Power Flow solution methods based on PowerSystems.jl

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

MPS and MPO methods based on ITensor (ITensors.jl)

A Julia package for interfacing with CQL compliant databases.

Stata's Binscatter for Julia

Examples written with Agents.jl

Julia package for visualising genomic data

Package to simulate the thermal evolution of magmatic systems

Estimation for sharp regression discontinuity designs.

A simulation engine for models related to plants

Simple Julia Lattice Boltzmann Solver for Thin Liquid Films and Droplets, approximating the thin film equation.

A flexible toolkit for simulation based inference in Julia

Argo data processing and analysis

Store intermediate results of iterative methods.

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

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Macros to define custom adjoints for TensorOperations.jl

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CUDA integration for the NNlib API

Connecting Julia to the Tax Calculator of the National Bureau of Economic Research (NBER)

A new lightweight package for Deep Learning with Julia

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A pure Julia package built on top of Rasters.jl for visualizing, analyzing, and processing remotely sensed imagery.

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Train a spiking recurrent neural network

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

🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling

Storage for results of Bayesian inference

Metrics for evaluation of Machine Learning and Deep Learning Models