Adds support for parallelization for Taija packages.

Record changes of your array automatically.

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Reduce re-identification risk while preserving temporal relationships in health data sets

A Julia package for inverting Taylor series

Standard environments for benchmarking the performance of RL algorithms.

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DeepForest Impletmentation in Julia

All wannier related calculations, manipulations and visualizations.

Quantum state database

Atomic environment package

Bayesian regression models for size-and-shape data

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Julia arrays with dimension labels, and scaling

Download and store US Distributional National Accounts Data (http://gabriel-zucman.eu/usdina/) using DataDeps.jl

Direct Gaussian simulation solver for the GeoStats.jl framework

A plugin of Express.jl for handling the ab initio software Quantum ESPRESSO

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Distributed, static topic/word LDA

[WIP] Core types and functions for QED.jl

A Julia Package for high performing parallelized computation of high dimensional Voronoi Meshes and Finite Volume problems

Import Dolo models from a YAML file.

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Python extensions relating to Caesar.jl

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Tools for GPs with Kronecker product kernels.

Base package for JuliaPsychometricsBazaar ecosystem

Base package for JuliaPsychometricsBazaar ecosystem

API for writing Psychology Experiments

Using a population of profiles to approximate the real motifs

Julia package to access Dropbox via its API

Apache Druid querying library for Julia

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Utility library for interacting with Dewesoft DWDataReaderLib shared library in the Julia programming language

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.