The gap between theory and practice is in practice greater than in theory.

A Julia interface for Dirichlet process mixture (DPM) models using Neal's algorithm 3.

Efficient Global Optimization (EGO) Toolbox

Julia package that handles image noise

An extension of DimensionalData.jl for EHT Julia Packages

Calculate common acoustic metrics with Julia.

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Read .imagine files in Julia

A Julia package to provide generic parameterized models for radio interferometric data

A Monte-Carlo implementation in the julia language

Adaptive persistency-based mechanism for Dispatcher task graphs

A few functions for working with indefinite quadratic forms.

Work with collections of objects identified by CITE2URN.

Work with texts modelled as passages, documents and corpora canonically citable by CTS URN..

Accelerate SparseArrays.jl by pirating with SuiteSparseGraphBLAS.jl

Work with multiple models of a text corpus.

A Julia package for using images cited by Cite2Urn, and available from an IIIF service.

A Julia module for working with citable objects identified by Cite2Urn.

Hebrew orthography in Julia

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FEM approach to estimate Bottom Hole Assembly building and dropping rates (aka "theoretical performance" under the "relaxed state" assumption).

BHA analysis using PtFEM (currently used as a limited check on BHAtp's FEM results).

Common infrastructure for building parsers and working with citable morphological datasets.

Analytic one- and two-particle vertices for the Hubbard atom

LoopManagers is the companion package of ManagedLoops. It provides managers to execute loops with SIMD, on multiple threads or on GPUs.

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A simple package to load HDF5 files saved by the DeepDish python library in Julia

A Julia module for reading documents in a variety of formats to instances of a CitableCorpus.

DeepForest Impletmentation in Julia

Plot data from references with formatted labels

Sorting methods for Julia Dataset that depends on InMemoryDataset.jl. Sorting without extra allocations caused by Dataset size.

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Use URNs in markdown links.

A Julia package for multiple kernel learning based one-class support vector machine.

Standard environments for benchmarking the performance of RL algorithms.

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