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Provides a general framework for implementing and performing Kernel Density Estimation

An uncertainty quantification toolbox for OpenGeoSys 6

Small Julia package for generating random telegraph signals.

A powerful, no code solution for control and systems engineering

Optimally tuned ridge regression when features can be partitioned into groups.

Value-at-Risk for Julia

Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

Dirac operators for lattice QCD with Julia

One package to train them all

Julia package for performing the proper orthogonal modal decomposition technique

Dynamical systems identification

Invariant Causal Prediction in pure Julia

MulticlassPerceptron.jl

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BOSS (Bayesian Optimization with Semiparametric Surrogate)

Warehouse for dynamical systems identification and control

Compute and add convex (or concave) piecewise linear approximations of functions or a set of points to optimization models modelled in JuMP

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Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

GPU-accelerated algorithms for flux sampling in CUDA.jl

Julia Package for reading and writing MPI Files

Measurements for lattice QCD. This is intended to use in LatticeQCD.jl.

A Monte-Carlo implementation in the julia language

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This generates covariance matrices and cholesky decompositions for a set of stochastic integrals.

Load Supernova Lightcurves

Advanced exports management for AutomationLabs.jl

An adapter package that implements Lighthouse's framework interface for Flux

Julia package for the Generation of Phantoms that can be used in ML Applications

Julia package for handling measured data for spherical t-designs.

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This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

Multi-start optimization in Nonconvex.jl

Julia wrapper for ABIDES-Markets

Nonparametric quantile regression using a nearest neighbor approach

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