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.
This package provides graphical computation for nn library in Torch7.
A completely unstable and experimental package that extends Torch's builtin nn library.
A fundamental package for scientific computing with Python.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Tm and are the main packages for managing, analyzing, and visualizing textual data.
Julia package for loading many of the data sets available in R.
MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.
A full port of Stanford NLP packages to.NET and also available precompiled as a NuGet package.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
Text preprocessing package for use in NLP tasks.
Package, configure, and iterate on a model with Truss at whatever level of control your model needs.
A Julia package for Princeton's WordNet.
Find AI Tools & Apps Search The Most Complete AI Tools Directory AI Search.
Archivarix Tube Search supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Awesome AI Web Search supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Awesome AI Web Search is a GitHub repository or organization with source code, releases, documentation, or project resources.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Framework that implements AutoML algorithms for model architecture search at scale.
Chroma - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. or Cloud available.
A super-easy way to record, search and compare 1000s of ML training runs.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.