Julia
Showing 36 of 100 projects
A Julia package providing core utilities for manipulating, comparing, and analyzing phylogenetic trees and networks.
Julia package providing easy access to 700+ standard R datasets for data analysis and statistical learning.
A Julia package for reproducible data setup, automating dataset downloads and management for scientific computing.
A static code analysis library for Julia that powers language server features like error detection and reference resolution.
A fast, flexible, and compact deep learning framework for Julia that runs on CPU and CUDA GPU.
An R package that provides a bidirectional interface for calling Julia code from R and mapping objects between both languages.
A PhD-level course on computational economics covering Python, Julia, and economic modeling techniques.
A convenience meta-package that loads essential Julia packages for statistics with a single import.
Adds IDE-like code intelligence (autocompletion, navigation, linting) to JupyterLab using the Language Server Protocol.
A Julia library providing a consistent API for common machine learning algorithms, designed for practitioners working with in-memory datasets.
A pure Julia implementation of LOESS (locally weighted regression) for smoothing scatterplots and fitting non-parametric models.
A GraphQL client and server implementation for the Julia programming language.
A Julia package for graph and network algorithms using matrix-based representations.
A Julia package for efficient large-scale Gaussian Mixture Models with support for diagonal/full covariance, parallel training, and variational Bayes.
A pure Julia package providing layout algorithms for graphs and trees, enabling automatic node positioning for visualization.
A GitHub Action to install and configure Julia for CI/CD workflows, supporting version ranges, architectures, and matrix testing.
A Julia wrapper for fitting Lasso and ElasticNet GLM models using the glmnet Fortran library.
A Julia package providing high-performance, configurable tokenizers and sentence splitters for natural language processing.
A Julia package implementing manifold learning and nonlinear dimensionality reduction algorithms.
A Julia package providing multiple algorithms for non-negative matrix factorization, including multiplicative updates, ALS, coordinate descent, and separable NMF.
An R package to run external programs like Julia, Python, and Shell by piping code to background processes.
A Julia package for loading pretrained word embeddings like Word2Vec, FastText, and GloVe.
A Julia library that generates graph layouts using the TikZ graph layout package for LaTeX integration.
A Julia package that reads binary and transport files from Stata, SPSS, and SAS using the ReadStat C library.
A Julia package for graph data structures with arbitrary metadata on vertices, edges, and the graph itself, extending Graphs.jl.
A Julia package for measuring and analyzing ecological networks, now being replaced by SpeciesInteractionNetworks.jl.
A Julia package providing algorithms for regression analysis via regularized empirical risk minimization.
A GitHub Action to run tests for Julia packages across multiple platforms and Julia versions.
Julia wrapper for the nettle cryptographic library providing hashing, HMAC, and AES encryption/decryption functionality.
A Julia client interface for reading from and writing to the TypeDB knowledge graph database.
Deprecated Julia package providing DataArray type for efficient handling of missing values in arrays.
A Julia framework for probabilistic graphical models, enabling structured probabilistic modeling and inference.
A performant, 100% native-Julia implementation of SHA-1, SHA-2, and SHA-3 cryptographic hash functions.
A Julia package for modeling and analyzing time-dependent networks as sequences of timestamped graphs.
A Julia implementation of a backpropagation neural network for machine learning tasks.
A Julia GraphQL client that enables type-safe querying, mutations, and subscriptions with compile-time validation and seamless Julia integration.
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