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Self-concordant Smoothing for Large-Scale Convex Composite Optimization

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Gaussian process models for spatial transcriptomics

Calculate vector spherical waves (M and N), which are solutions for vector wave equation.

Client for Segment.io

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A package for the calculation of steady state coverages for a given gas composition, T and p

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Structured processing elements with I/O specifications

Simulating quantum computing verification

SDMX-json reader. Tables.jl compatible

This package is a part of RSim, however, may also be used as an independent package for the calculation of source terms from an xml mechanism input file

Take "snapshots" of the main branches of repositories that use Git LFS

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Access data from the Allen Institute's open Neuropixels datasets

Functions to access NFL data

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Convenient line plots of ModiaResults with WGLMakie

SEM/EDS particle analysis tools

Base package for persistence diagrams

Convenient line plots of ModiaResults with PyPlot

Implementation of Persistent Homology Transform

Julia package for handling measured data for spherical t-designs.

EPMA matrix correction algorithms

Python extensions relating to Caesar.jl

This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

All wannier related calculations, manipulations and visualizations.

Tools to configure Julia and its development environment

Load, format, analyze, and plot the Allen Neuropixels datasets

A Julia Package for high performing parallelized computation of high dimensional Voronoi Meshes and Finite Volume problems

A lightweight Julia package for modeling and solving Newsvendor Problems.

FFT solvers in Julia language

Common solvers within orbital mechanics and astrodynamics.

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Utilities creating Dash.jl widgets working with Homermultitext project content

Implementation of the pHcalc library by Ryan Nelson at https://github.com/rnelsonchem/pHcalc

Julia package to load in raw Philips MR data exported using the .{data,list} format

Met Office historic station data

Unfolded convolutional learning for motif discovery