Tribuo is a machine learning library written in Java, developed by Oracle Labs' Machine Learning Research Group and released under the Apache 2.0 license. It supports classification, regression, clustering, anomaly detection and multi-label classification, and provides interfaces to libraries such as XGBoost and TensorFlow along with ONNX model exchange support.
Durable is an AI-powered business builder platform. It enables users to create websites with AI, improve discoverability via SEO and GEO, manage customers, and use AI marketing tools within a single application.
ahaz is an R package providing computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model. It depends on R version 2.10 or later, along with survival, Matrix and methods, and requires compilation. The package is authored and maintained by Anders Gorst-Rasmussen under GPL-2 and appears in the MachineLearning and Survival views.
StepByStepML provides free online machine learning calculators that solve algorithms step-by-step for computer science exams. Users input a dataset and the site shows the full manual calculation for algorithms including K-Means, Minimax, KNN, A* Search, and evaluation metrics. Theory guides accompany the interactive solvers, and the site states it is built for CS students.
A curated UC Berkeley Law Library guide collecting resources on generative AI applications in law school, higher education, and legal practice. It links news, studies, ethics materials and access-to-justice research, and notes that the resources will be regularly updated.
Songs Like X is a music discovery service that returns lists of songs similar to a chosen track. The free plan provides 20 recommendations per search. The Pro plan, at $3 per month, provides 50 recommendations per search and Melodie, an AI playlist assistant that tunes a list by mood or in the user's own words.
A NeurIPS 2022 workshop, held virtually on December 9, on cultures of AI and AI for culture. It is a cross-disciplinary workshop bringing together experts in AI/ML with experts in human biases and cultural theories from HCI and the social sciences to discuss how AI influences culture and how culture influences AI.
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Durable is an AI-powered business builder platform. It enables users to create websites with AI, improve discoverability via SEO and GEO, manage customers, and use AI marketing tools within a single application.
ahaz is an R package providing computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model. It depends on R version 2.10 or later, along with survival, Matrix and methods, and requires compilation. The package is authored and maintained by Anders Gorst-Rasmussen under GPL-2 and appears in the MachineLearning and Survival views.
StepByStepML provides free online machine learning calculators that solve algorithms step-by-step for computer science exams. Users input a dataset and the site shows the full manual calculation for algorithms including K-Means, Minimax, KNN, A* Search, and evaluation metrics. Theory guides accompany the interactive solvers, and the site states it is built for CS students.
A curated UC Berkeley Law Library guide collecting resources on generative AI applications in law school, higher education, and legal practice. It links news, studies, ethics materials and access-to-justice research, and notes that the resources will be regularly updated.
Songs Like X is a music discovery service that returns lists of songs similar to a chosen track. The free plan provides 20 recommendations per search. The Pro plan, at $3 per month, provides 50 recommendations per search and Melodie, an AI playlist assistant that tunes a list by mood or in the user's own words.
A NeurIPS 2022 workshop, held virtually on December 9, on cultures of AI and AI for culture. It is a cross-disciplinary workshop bringing together experts in AI/ML with experts in human biases and cultural theories from HCI and the social sciences to discuss how AI influences culture and how culture influences AI.
