A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
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Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
Supports workplace tasks, documents, meetings or business operations with AI.
Supports workplace tasks, documents, meetings or business operations with AI.
Clojure wrapper for deeplearning4j with some added syntactic sugar.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Katonic supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
Keploy supports software development with code generation, analysis, debugging, or documentation.
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
Kernel density estimators for Julia.
Kilo supports software development with code generation, analysis, debugging, or documentation.
Kilo Code supports software development with code generation, analysis, debugging, or documentation.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Kokoro-82M supports machine learning models, deployment, inspection, datasets, or AI development workflows.
KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.