State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! – GitHub – xenova/transformers.js: State-of-the-art Machine Learning for the w…
Read more »New 2nd Edition of our book: “Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control” by Steven L. Brunton and J. Nathan KutzD…
Read more »(The “featured image” of this post is produced by a Shadertoy shader. Do you think the shader was written by a human or a machine? Reach the end of the post to find out!) Looking at the…
Read more »Как найти пользователя по твиту благодаря машинному обучению. Часть I Всем привет! Я ML-инженерка open-source-ного Machine Learning community Yachay AI. У нас небольшая команда, но большой опыт…
Read more »MLU-Explain: Visual Introduction to the Random Forest algorithm.
Read more »Share your videos with friends, family, and the world…
Read more »Machine Learning for Physics and Astronomy. Contribute to LHCfitNikhef/ML4PA development by creating an account on GitHub.
Read more »This monograph aims at providing an introduction to key concepts, algorithms, and theoretical results in machine learning. The treatment concentrates on probabilistic models for supervised and unsupervised learning problems. It introduces fundamental conc…
Read more »Five subtypes of heart failure that could potentially be used to predict future risk for individual patients have been identified in a new study led by UCL researchers.
Read more »One of the ‘Godfathers of AI’ and Chief AI Scientist at Meta AI (FAIR), Yann LeCun joined us for a special live talk and fireside chat with our Executive Dir…
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