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Julia package for Regularized Discriminant Analysis.
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Open-source package for validating ML models & data, with various checks and suites.
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A Julia package for probability distributions and associated functions.
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Many useful features that aren't part of the main nn package.
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Python package which helps to debug machine learning classifiers and explain their predictions.
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A Python package to assess and improve fairness of machine learning models.
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Feature engineering package with SKlearn like functionality.
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Julia package for Gaussian processes.
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Python package for geospatial intelligence workflows, location data, and map-based OSINT tasks.
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Unified interface to ggplot2 popular R packages.
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A lightweight tool to report on the licenses used by a Go package and its dependencies. Highlight! Versioned external URL to licenses can be found at the same time.
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Package for computer vision using OpenCV 4 and beyond.
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A python package that integrates an LLM copilot inside the keras model development workflow.
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Build, packaging, and run system for ephemeral multi-container environments.
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Julia package for working with various human languages.
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LinkScope helps search source code, repositories, APIs, and developer resources.
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A Julia package for manifold learning and nonlinear dimensionality reduction.
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Maxurl is a code repository or project page with source code, releases, documentation, or setup notes.
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A Julia package for fitting (statistical) mixed-effects models.
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A Julia package for non-negative matrix factorization.
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Nn builder is a python package that lets you build neural networks in 1 line.
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This package provides graphical computation for nn library in Torch7.
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A completely unstable and experimental package that extends Torch's builtin nn library.
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Turns websites into lightweight desktop apps, useful for packaging web tools as simple cross-platform applications.