Julia

MLJalan-turing-institute/MLJ.jl

A Julia machine learning framework providing a unified interface and meta-algorithms for over 200 models.

GadflyGiovineItalia/Gadfly.jl

A plotting and data visualization system for Julia, implementing the Grammar of Graphics.

DataFramesJuliaData/DataFrames.jl

A flexible and fast package for in-memory tabular data manipulation and analysis in the Julia programming language.

Juliasvaksha/Julia.jl

A curated, categorized directory of packages, libraries, and resources for the Julia programming language.

AIsvaksha/Julia.jl

A curated, categorized directory of Julia packages and resources for scientific computing and high-performance numerical analysis.

Knet.jldenizyuret/Knet.jl

A deep learning framework for Julia with GPU support and automatic differentiation using dynamic computational graphs.

Mocha.jlpluskid/Mocha.jl

A deep learning framework for Julia inspired by Caffe, featuring modular architecture and multiple backends.

DistributionsJuliaStats/Distributions.jl

A comprehensive Julia package for probability distributions, providing properties, PDFs, sampling, and maximum likelihood estimation.

JETaviatesk/JET.jl

A static code analyzer for Julia that uses type inference to detect potential bugs and type instabilities without requiring type annotations.

LightGraphs.jlJuliaGraphs/LightGraphs.jl

An optimized graph analysis package for Julia, providing simple concrete graph types and an API for custom implementations.

GLMJuliaStats/GLM.jl

A Julia package for fitting linear and generalized linear models with comprehensive statistical functionality.

ScikitLearncstjean/ScikitLearn.jl

A Julia implementation of the scikit-learn API, providing a uniform interface for machine learning models from both Julia and Python ecosystems.

ImagesJuliaImages/Images.jl

A comprehensive image processing library for Julia, providing tools for loading, manipulating, and analyzing images.

Data Frames MetaJuliaData/DataFramesMeta.jl

A Julia package providing metaprogramming macros to simplify DataFrame manipulation with a more concise syntax.

DistancesJuliaStats/Distances.jl

A Julia package providing efficient, type-safe implementations of numerous distance metrics and divergences between vectors and matrices.

Mixed Modelsdmbates/MixedModels.jl

A Julia package for fitting linear and generalized linear mixed-effects models with maximum likelihood estimation.

DSPJuliaDSP/DSP.jl

A Julia package providing digital signal processing routines including filter design, periodograms, window functions, and estimation.

MultivariateStatsJuliaStats/MultivariateStats.jl

A Julia package for multivariate statistics and data analysis, including dimension reduction techniques like PCA and LDA.

Text AnalysisJuliaText/TextAnalysis.jl

A Julia package providing standard tools and models for text analysis and natural language processing.

ClusteringJuliaStats/Clustering.jl

A Julia package providing comprehensive clustering algorithms and validation metrics for data analysis.

Time SeriesJuliaStats/TimeSeries.jl

A lightweight Julia toolkit for working with time series data, providing efficient data structures and operations.

GitHub repositorypglira/simpleICP

A simple, multi-language implementation of the Iterative Closest Point algorithm for 3D point cloud registration.

Gaussian ProcessesSTOR-i/GaussianProcesses.jl

A Julia package for Gaussian process modeling with support for exact inference, MCMC sampling, and non-Gaussian likelihoods.

Hypothesis TestsJuliaStats/HypothesisTests.jl

A comprehensive Julia package implementing a wide range of statistical hypothesis tests for data analysis.

XGBoostdmlc/XGBoost.jl

A Julia interface for XGBoost, providing efficient distributed gradient boosting for regression, classification, and ranking.

JuliaCallNon-Contradiction/JuliaCall

An R package that embeds Julia for high-performance numerical computing, enabling seamless interoperability between R and Julia.

somoclupeterwittek/somoclu

A massively parallel library for training self-organizing maps on multicore CPUs, GPUs, and clusters with support for dense and sparse data.

Mambabrian-j-smith/Mamba.jl

A Julia package for implementing and applying Markov chain Monte Carlo (MCMC) methods for Bayesian analysis.

BayesNets.jlsisl/BayesNets.jl

A Julia library for representation, inference, and learning in Bayesian networks.

MolecularGraph.jlmojaie/MolecularGraph.jl

A Julia toolkit for graph-based molecule modeling, cheminformatics analysis, and chemical structure manipulation.

Kernel DensityJuliaStats/KernelDensity.jl

A Julia package providing kernel density estimation (KDE) for univariate and bivariate data with flexible bandwidth selection and interpolation.

Graphs.jlJuliaLang/Graphs.jl

A Julia package providing generic graph types, algorithms, and interfaces inspired by the Boost Graph Library.

MLBaseJuliaStats/MLBase.jl

A Swiss knife collection of utility functions for developing and evaluating machine learning algorithms in Julia.

PhyloNetworks.jlcrsl4/PhyloNetworks.jl

A Julia package providing core utilities for manipulating, comparing, and analyzing phylogenetic trees and networks.

RDataSetsjohnmyleswhite/RDatasets.jl

Julia package providing easy access to 700+ standard R datasets for data analysis and statistical learning.

DataDepsoxinabox/DataDeps.jl

A Julia package for reproducible data setup, automating dataset downloads and management for scientific computing.