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

Manage unstructured and multimodal datasets!

Simulate sequence data and complicated pedigree structures

A an MLJ extension for accessing models and tools related to text analysis

Framework for stochastic modelling in systems biology

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Solvers and preconditioners for the Gridap ecosystem.

Gradient Descent optimizers for Julia

A high-performance library for gradient based quantum optimal control

Mulitprecision Arrays

Methods for the manipulation of geometric data, grid generation, and visualization formatting.

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An implementation of the AdaOPS (Adaptive Online Packing-based Search), which is an online POMDP Solver used to solve problems defined with the POMDPs.jl generative interface.

Lightweight module of neural differential equations in Kinetic.jl

Computing solutions to the frequency-domain radial Teukolsky equation with the Generalized Sasaki-Nakamura (GSN) formalism in julia

Ordered multinomial models

A package for the simulation of gas chromatography (GC)

Additional algorithms for the `SimpleGraphs` module that rely on integer programming

Collection of plot functionalities for time series analysis.

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

Phylogenetic ANalyses of DiversificAtion (in Julia)

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Linear models

Polygenic Risk Scoring in pure Julia

Functional Data Analysis using Square-Root Slope Framework

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

Optimal experimental design of ODE and DAE systems in julia

Better Radial velocities from Stellar Spectroscopy via Machine Learning

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

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

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

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Linear Regression for Julia

Beeswarm plots for Makie.jl!

Differentiable constraint-based metabolic models

Julia API for Intan RHD2000

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