Estimating Term Structure Models in the Bayesian Framework

Paquete de equilibrio liquido/vapor

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Simulation of single molecule data sets

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Optimise routing in computer networks.

A package for discretizing trajectory data into a transition probability matrix using Ulam's method.

Fun toys built on top of JuliaGizmos projects!

Spectral [phenotype/phylogenetic] Inference package

Julia wrappers for TheMovieDB API v3

Base package to be imported by other members of RvSpectML ecosystem

Deep Unfolded Convolutional Dictionary Learning for motif discovery.

Searching configurations in abstract spaces using stochastic search methods

Exact computations on fully-connected Ising models with uniform couplings

Read and analyze EPOCH simulation data

Package for generating masks and line lists for use in stellar radial velocity measurements

Sum of Exponentials method accelerated Ewald2D method

A package for simple algebra, calculus and evaluation of one dimensional functions. Can be used for approximation (splines, interpolation) and algebra.

A Julia package for simulating Social Sampling Theory

A simple multi-SDR recorder using SoapySDR.jl

Surface Magnetic Resonance Probabilistic Inversion

Time Series Classification algorithms in Julia - Bachelor thesis project

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Metrics for SMLM

Frame-connection on localization microscopy data

Examples calculations for the book "Value-Oriented Risk Management of Insurance Companies"

Data types and utilities for SMLM coordinate data.

SMLMBoxer.jl is a Julia package that provides a fast and efficient method for detecting particles or blobs in a multidimensional image stack and cutting out sub-regions around local maxima.

A julia implementation of SMG2S (Sparse Matrix Generator with Given Spectrum)

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A text classification library using the microtc approach

Compute solar radiation and generate sky domes for VPL

Robustly and accurately fit monochromatic sine waves.

Import data from Simulink SDI Sessions to Julia.

Package to perform individual based modelling of schistosomiasis

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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.

A Julia interface to the Tibber API

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

Compute exact simplex intersections in N dimensions.