Generalized linear models for cell-cell communication

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

Julia package for Optical fibers

Tea file support for Julia

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A text classification library using the microtc approach

Read and analyze EPOCH simulation data

External Machine Learning Libs for TSML

Tiny Julia package to implement CES (constant elasticity of substitution) functions

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[WIP] Wrapper package for simulation and bayesian inference of behavioral models

[WIP] QEDevents.jl: Monte-Carlo event generation for QED.jl

Method validation

This is a package for homogeneous polynomial minimization on the sphere using harmonic hierarchies also including harmonic analysis and spherical quadrature rules.

A lightweight package for grouping 2D data into regular bins.

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.

Draw simple Flux neural networks using TikZ

A Julia package for statistical modeling of binned data, e.g. histograms.

Gaussian simulation solvers for the GeoStats.jl framework

Rapid Document Ranking, Powered by Lightweight Models.

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Collection of Collaborative Datasets for Persa.jl

A Julia package to handle multi-dimensional radio interferometric data

Transliterate Beta Code Greek to Unicode Greek

Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)

Quantitative analysis of chemicals

Data structures for graph neural network

A package for generating and analyzing Aztec diamonds

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

DeepForest Impletmentation in Julia

A Julia package to simulate and model interstellar scattering in strong regime.

Apply symmetries to arbitrary dimension arrays

A prototype of a reactive Webapp for bitemporal data management of insurance contracts.

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

Construct log densities with deterministic samples using low-discrepancy sequences.

Unfolded convolutional learning for motif discovery

Integration of 1d presampled signals

FEM approach to estimate Bottom Hole Assembly building and dropping rates (aka "theoretical performance" under the "relaxed state" assumption).

Transducer-based general-purpose simulator with lazy evaluation