LRMoE implemented in Julia

Automatic Higher Order Differentiation for Generic Julia Functions

A package for Random Matrix Theory

Julia Implementation of the nonintrusive model reduction approaches: Operator Inference (OpInf) and Lift & Learn (LnL)

Simulate EEG / ERP data with overlap, non-linear effects, multiple regression

A collection of functions to analyze phonetic data

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

Alignment and comparison of small molecules read from .sdf files represented as Gaussian Mixture Models.

Functions to compute matrix permanents

Nonparametric Bayesian volatility learning under microstructure noise

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TensorNetworkCodes is a Julia library developed to support the following research: https://arxiv.org/abs/2109.11996

GraphNetCore.jl is a software package for the Julia programming language that provides an the core functionality of the MeshGraphNets.jl package. Some parts are based on the implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Mondrian random forests in Julia

Prescribed flow models for testing cloud microphysics schemes.

Julia implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr

WAIC and PSIS model comparison methods as explained in Statistical Rethinking.

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Locally weighted regression solver for the GeoStats.jl framework

Just the Comrade Models

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Prescribed flow models for testing cloud microphysics schemes.

Statistical inference for Poisson Processes

Independent Hypothesis Weighting for multiple testing with side-information in Julia

Fast implementations of FastICA and DUET for blind source separation

Experimental Approach to McCormick Relaxation Source-Code Transformation

A Julia package for computing singular integrals

Recursive causal discovery with Julia

Point-based value iteration solver for POMDPs

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Tools to specify and simulate individual based models, using applied category theory

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Layerwise Relevance Propagation in Julia.

An extension package of PowerModels.jl for Harmonic (Optimal) Power Network

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Julia implementation of the Gumbel-Softmax reparametrization trick compatible with Zygote and ForwardDiff

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