Many areas of machine learning and science involve large linear algebra problems, such as eigendecompositions, solving linear systems, computing matrix exponentials, and trace estimation. The matrices involved often have Kronecker, convolutional, blo...
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Surrogate modeling and optimization for scientific machine learning (SciML) (⭐ 367)
Out-of-distribution (OOD) detection is indispensable for machine learning models deployed in the open world. Recently, the use of an auxiliary outlier dataset during training (also known as outlier exposure) has shown promising performance. As the sa...
? Bidet: The cleanest machine learning library. (⭐ 6)
Feb 16, 2026 · Whether you’re looking for a versatile all-rounder, a premium portable gaming PC or a dedicated machine for retro games, these are the gaming handhelds that stand out in an increasingly …
Directly modeling the explicit likelihood of the raw data distribution is key topic in the machine learning area, which achieves the scaling successes in Large Language Models by autoregressive modeling. However, continuous AR modeling over visual pi...
Algorithmic decision support (ADS), using Machine-Learning-based AI, is becoming a major part of many processes. Organizations introduce ADS to improve decision-making and use available data, thereby possibly limiting deviations from the normative "h...
Artificial Intelligence (AI) faces growing challenges from evolving data protection laws and enforcement practices worldwide. Regulations like GDPR and CCPA impose strict compliance requirements on Machine Learning (ML) models, especially concerning...
Scalable Machine Learning with Dask (⭐ 945)
2011 at the Wayback Machine, Asia Sentinel, 4 March 2011. Oregon Pacific Rim roundup: Beijing moves into U.S. campuses Archived 11 March 2011 at the Wayback
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Uses WiFi signals :signal_strength: and machine learning to predict where you are (⭐ 5145)
This is a brief survey of the current status of Stephen Hawking's ``chronology protection conjecture''. That is: ``Why does nature abhor a time machine?'' I'll discuss a few examples of spacetimes containing ``time machines'' (closed causal curves)...
OpenClaw is an open-source AI agent platform that runs on your machine and works from the chat apps you already use—WhatsApp, Telegram, Discord, Slack, Teams, and more.
Clustering is a powerful machine learning technique that groups "similar" data points based on their characteristics. Many clustering algorithms work by approximating the minimization of an objective function, namely the sum of within-the-cluster dis...
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75. ISBN 978-1-59403-476-3. The Newsletter of the Center for White Rose Studies: Roses at Noon. Archived 21 May 2013 at the Wayback Machine 17 December
This is a set of lecture notes for an introductory course (advanced undergaduates or the 1st graduate course) on foundations of supervised machine learning (in Portuguese). The topics include: the geometry of the Hamming cube, concentration of measur...