TensorFlow is an end-to-end open source machine learning platform. It provides a flexible ecosystem of tools, libraries, and community resources for machine learning development, including libraries for web, mobile, edge, and production ML pipelines, as well as pre-trained models, datasets, and educational resources for users.
ICML is an international machine learning conference supported by the International Machine Learning Society. The 32nd International Conference on Machine Learning, ICML 2015, was held in Lille, France, on July 6 to July 11, 2015, with tutorials, a main conference and workshops.
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.
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 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.
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.
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.
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ICML is an international machine learning conference supported by the International Machine Learning Society. The 32nd International Conference on Machine Learning, ICML 2015, was held in Lille, France, on July 6 to July 11, 2015, with tutorials, a main conference and workshops.
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.
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 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.
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.
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.
