A web client for the 7-Day Streamflow Forecasting Service the Australian Bureau of Meteorology.

Unsupervised Machine Learning: Nonnegative Tensor Networks + k-means clustering

CUDA solver for Metida.jl

Tensor Trains, mostly as probability distributions

MetaCommunityMetrics is a collection of tools and utilities for analyzing meta-communities in Julia. The current version is compatible with julia version 1.9.3.

An extension of DimensionalData.jl for EHT Julia Packages

A text classification library using the microtc approach

Physical mesh interfaces for Julia

Julia implementation of the Numenta Anomaly Benchmark

(Archived, use BestieTemplate.jl)

Mechanical engineering toolbox for concept exploration, design and analysis.

Flows: classical, Hamiltonian, from OCP and more

Summarize MCMC Chains.

Methods for the evaluation of maximum entropy distributions

Core functions to obtain closed-form least squares estimates for matrix linear models.

A Julia interface to the ReefMod Engine API

CurricularVisualization.jl is an extension of the CurricularAnalytics.jl toolbox for visualizing curricula and degree plans.

Http://ergast.com/mrd/

Makie visualization module for TopOpt.jl

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Estimation of person parameters for item response models in Julia

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Plots.jl recipes for the GeoStats.jl framework

Radial Basis Function Surrogates

Julia package for using JuliaQX with Yao

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Julia implementation of Path Weight Sampling (PWS) to compute information transmission rates

Statistics, Julia package: check data for a Simpson's statistical paradox.

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Import data from Simulink SDI Sessions to Julia.

External Machine Learning Libs for TSML

Implementations of various Relief-based algorithms in Julia

This package provides a quick interface to get different item-response datasets, e.g. for fitting IRT models

Generalized linear models for cell-cell communication

Chantler's FFAST mass absorption coefficients

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To work with a UKB main dataset

Base package for the IonCLI, one can extend the CLI for internal use using this package.

Deep Unfolded Convolutional Dictionary Learning for motif discovery.

Making your own small dataset