Provides core functionality of DerivableFunctions.jl without loading backends.

Data driven acoustic propagation models

A numerical library for evaluating the communication value of a quantum channel.

UnetStack utilities

A package for the development and implementation of continuous-time policy gradient (CTPG) methods.

Easy way to use public outlier detection datasets with Julia

Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

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A Julia package for computing cross mapping causality measures between time series.

Group sequential design bounds.

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More algorithms for the Erdos.jl graph library

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Julia module for topology preprocessing of images and videos

Statistical Inference to DEtermine KICKS on compact objects

Compute confidence Intervals (CLT, Chebyshev, Hoeffding) and Confidence Seqeunces (in a sequential setting if needed) in Julia

Repository for the Julia BOMBS package

A package for Joint Energy Models and Energy-Based Models in Julia.

CanDecomp (CP) Tensor Decomposition

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Certify the classical simulation cost of black-box systems.

Bounds and Relaxations of Parametric Differential Equations

A lightweight framework for Reversible Jump Markov Chain Monte Carlo

Julia package for working with Dynamic Linear Models.

Traits for specifying the orientation of features and observations in data

BioExplorer.jl: A comprehensive Julia package for biodiversity analysis. Uncover patterns, richness, abundance, and ecological metrics. Empowering researchers, conservationists, and data enthusiasts with insights for informed decision-making and preserving our natural world.

Methods for optimizing the spatial location of biodiversity-observation-networks

Exponential representation of cell-cell interactions

Http://proceedings.mlr.press/v89/requeima19a.html

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Pulsar search utilities in Julia

Williamson and Inverse-Williamson transformations, in fully generic pure Julia.

A hybrid sampler for the Pólya-Gamma distribution in Julia, implementing multiple algorithms for efficient sampling.

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BOSS (Bayesian Optimization with Semiparametric Surrogate)

Abstraction Layer for Dynamic Bounds

Differentiable neural network with easy access to Jacobians of the output wrt the input and the network parameters.

Access NavAbility cloud factor graph features from Julia alongside Caesar.jl and others

Approximate Bayesian Computing with Julia