Bundle of Julia Packages related to Numerics

This package aims to compute the Tracy-Widom distribution for arbitrary positive beta.

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

An implementation of Shamir's Secret Sharing protocol in Julia

Detect topological entities on a triangular surface mesh.

An opensource implementation of several kernel methods

Julia package for computing fluid properties near shock waves.

The Julia Implementation of Gradient Boosting.

Easily implement a heuristic for solving Mixed Integer problems

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

Estimate LoD from data

An adapter package that implements Lighthouse's framework interface for Flux

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

Deep Unfolded Convolutional Dictionary Learning for motif discovery.

Method of moving asymptotes implementation for Nonconvex.jl

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Noise modeling

Package holding options modeling and analysis codes

A julia package for extremal combinatorics based on the flag algebra method.

Largrange polynomial based spectral PDE solvers

Nicely formatted p-adic numbers.

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Romeo Occupation Matrix Energy Optimizer for DFT

Analyze and debug LBFGS linesearch behavior inside GRAPE

A Julia package that registers the Polynomial type from the Polynomials package with the MutableArithmetics package

Collection of Julia functions to make random things

Plotting Radiotherapy Beam-Limiting Devices using Plots.jl

Compute exact simplex intersections in N dimensions.

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

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

Julia wrapper for Forem API v1

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.

Fixed point sin and cos approximations

Import data from Simulink SDI Sessions to Julia.

Robustly and accurately fit monochromatic sine waves.

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

Tools for handling correlated uncertainties in Julia