Simple, concise implementations of machine learning techniques and utilities in Clojure.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LangChain Docs provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Learn Agentic Patterns provides AI-assisted learning, courses, tutorials, or study support.
Learn JS Data applies AI to data analysis, extraction, visualization, or business intelligence.
AI-powered academic assistant for students with note-taking, essay writing, and presentation generation.
Documentation for LearnPrompting, covering setup, features, and practical usage.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
Lemonade provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A generic approach that allows to mimic most factorization models by feature engineering.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An integrated and easy-to-use tool for support vector classification and regression.
Licensing is neither feasible nor effective for addressing AI risks provides machine-learning models, research, training resources, or evaluation…
LifeArchitect supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Lightly is a computer vision framework for self-supervised learning.
Explaining the predictions of any machine learning classifier.
Limits provides machine-learning models, research, training resources, or evaluation tools.