Implementation of several algorithms for combinatorial bandits, a kind of reinforcement learning.

A toolkit for analyzing, generating, and constructing both continuous and discrete markov chains.

Connecting MLJ and MLFlow

Core algorithms and data for X-ray microanalysis calculations

Confidence bands for simultaneous statistical inference

Next Generation Genomic Prediction Tools

Extending `Distributions.jl` to include Landau Distribution based on CERN ROOT's implementation.

Direct solution of the Chemical Master Equation in Julia.

Bayesian bi-clustering of categorical data

Trust-region methods with partitioned quasi-Newton approximations

Package for different inducing points selection methods

Generate population growth rate maps from spatial data

Package for the Rigorous Computation of Invariant Measures

Useful extensions of the POMDPs.jl interface

A collection of standard topology optimisation problems.

A generalized experience replay buffer for reinforcement learning

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Within-subject variance estimation by robust regression (WiSER)

Julia module to fit and analyze stochastic gene transcription models

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Split and recombine your data

A Julia package for real-time audification of ODEs and SDEs

A package for Random Matrix Theory

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Quantitative risk and performance analysis package for financial time series powered by the Julia language.

A package for modeling and solving Quadratic Program Networks.

Makie plots with legends and labels and everything

Julia library for fitting and analyzing state space models. Provides efficient implementations of various SSMs including the canonical Gaussian LDS (Kalman Filter/Smoother), Poisson LDS, HMMs, etc.

Julia package to seamlessly integrate Mathematica's MathLink with Julia's native Symbolics package

Stan versions of StatisticalRethinking models.

Nonparametric Bayesian volatility learning under microstructure noise

Statistical inference for Poisson Processes

A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.

A Julia package for higher-order network analysis

Automatic Higher Order Differentiation for Generic Julia Functions

A lightweight Consensus-Based Optimisation package for Julia

Regression models for beta distributed responses in Julia

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PAGE-2020 - a Julia implementation of the PAGE Integrated Assessment Model

(Hierarchical) Phylogenetic Models in Julia