Julia package to generate, estimate, and forecast long memory processes

Package for different inducing points selection methods

A Julia Package for the ACT-R Cognitive Architecture

Confidence bands for simultaneous statistical inference

Basic implementation of alpha shapes

Estimating the fractal dimension of timeseries or multidimensional datasets

Ship maneuvering simulation tool with respect to ShipMMG model

Plot Wigner function and density matrix generated by QuantumStateBase.jl

Code for our UAI '20 paper "Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes"

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

Exoplanet System Simulation: core files

A collection of standard topology optimisation problems.

JudiLing: An implementation for Linear Discriminative Learning in Julia.

Bayesian bi-clustering of categorical data

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

Local anisotropies and nonstationary spatial processes for the GeoStats.jl framework

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

Metric Gaussian Variational Inference

Julia module to fit and analyze stochastic gene transcription models

Within-subject variance estimation by robust regression (WiSER)

Connecting MLJ and MLFlow

Core algorithms and data for X-ray microanalysis calculations

Next Generation Genomic Prediction Tools

Direct solution of the Chemical Master Equation in Julia.

Trust-region methods with partitioned quasi-Newton approximations

Useful extensions of the POMDPs.jl interface

Simulators for POMDPs.jl

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Package for the Rigorous Computation of Invariant Measures

A generalized experience replay buffer for reinforcement learning

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Nonparametric Bayesian volatility learning under microstructure noise

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

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

(Hierarchical) Phylogenetic Models in Julia

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

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Mondrian random forests in Julia

Stan versions of StatisticalRethinking models.

Functions to compute matrix permanents