Light-weight HistFactory in pure Julia, attempts to be compatible with `pyhf` json format

A Julia package for behavioural modeling

Sampling-based methods for correcting for class imbalance in two-category classification problems

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A high-performance library for gradient based quantum optimal control

Lightweight module of neural differential equations in Kinetic.jl

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Simulate sequence data and complicated pedigree structures

:spider: Non-Markovian stochastic SPIn (and harmonic oscillator) DYnamics.

Manage unstructured and multimodal datasets!

Julia implementations of temporal difference Reinforcement Learning algorithms like Q-Learning and SARSA

Variography for the GeoStats.jl framework

TreeKnit is a package that infers Ancestral Reassortment Graphs for segmented genomes (typically, human influenza).

Beeswarm plots for Makie.jl!

Weighted version of OnlineStats.jl

Plotting utilities for mass spectrometry data

Better Radial velocities from Stellar Spectroscopy via Machine Learning

A pure-Julia take on standard net survival routines

A Julia package for frequency domain analysis of time series

Linear Regression for Julia

Optimal experimental design of ODE and DAE systems in julia

A Julia wrapper for pomdp-solve that interfaces with the POMDPs.jl framework

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Linear models

A Julia implementation of the RAM algorithm (Vihola, 2012)

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

An interactive explorer for flow cytometry data

A tool for the combination and EFT interpretation of measurements in Julia

Differentiable constraint-based metabolic models

Julia wrapper for Acoustics Toolbox (Bellhop, Kraken, ...)

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Modular random feature approximation in Julia

Functional Data Analysis using Square-Root Slope Framework

Julia API for Intan RHD2000

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Julia Package for Count Data Time Series

Kite and tether models for the simulation of kite power systems

A Julia package for mapping qualitative data patterns to regions of a model's parameter space.

Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-independent spatio-temporal ML models.