A simple and efficient implementation of physically-based coordinate systems with Unitful dimensions.

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An interface to Conrcorde TSP solver

A satellite telemetry analysis API for the Julia language.

Julia package for the Generation of Phantoms that can be used in ML Applications

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A Julia implementation of template matching methods.

Relational composition

Package for static road traffic assignment.

A small package that provides a function sendsms for sending text messages using Twilio.

Easily implement a heuristic for solving Mixed Integer problems

Deep Unfolded Convolutional Dictionary Learning for motif discovery.

A Julia-Python interface of https://github.com/MineralsCloud/qha

Julia package for the paper "Decomposition with Monotone B-splines: Fitting and Testing"

Take "snapshots" of the main branches of every repository in a GitHub organization

Generate a markdown file using Literate.jl, adding project and manifest.

A web client for the Seasonal Streamflow Forecasting Service the Australian Bureau of Meteorology.

Spectral [phenotype/phylogenetic] Inference package

A type and accompanying methods for vortex filaments in Julia.

SimSpread is a novel approach for predicting interactions between two distinct set of nodes, query and target nodes, using a similarity measure vector between query nodes as a meta-description in combination with the network-based inference for link prediction.

Largrange polynomial based spectral PDE solvers

Noise modeling

A PythonCall wrapper to the eht-imaging julia package

An implementation of PyCallJLD for the JLD2 package, implementing a serializer for saving and loading PyCall objects.

A reverse McCormick operator library

Julia wrapper for pyarrow

An implementation of the psychomotor vigilance task in Julia.

Some statistical, geochemical, and geochronological functions

Read and analyze EPOCH simulation data

Partial Svd with Random Sampling. O.Shamir and Vempala algorithms.

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Some generic Markov kernels for Monte Carlo

Support for univariate and multivariate truncated distributions in Julia

Provides proximal operator evaluation routines and proximal optimization algorithms, such as (accelerated) proximal gradient methods and alternating direction method of multipliers (ADMM), for non-smooth/non-differentiable objective functions.

Computes the fundamental group of the complement of a curve in the 2-dimensional complex space

Tensor Trains, mostly as probability distributions

Models to compute the geomagnetic field.

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Method of moving asymptotes implementation for Nonconvex.jl

This package formats your data to use in the Ripserer package.