summaries library
Machine Learning Summaries
A handpicked collection of Machine Learning summaries, kept concise and up to date.
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Stanford CS329H: Machine Learning from Human Preferences I Guest Lecture: Joseph Jay Williams
22 Nov 2024 · over 1 year ago
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AI, ML and Data Engineering InfoQ Trends Report
02 Oct 2024 · over 1 year ago
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Piero Molino on Ludwig, a Code-Free Deep Learning Toolbox
01 Oct 2024 · over 1 year ago
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Stanford CS236: Deep Generative Models I 2023 I Lecture 5 - VAEs
06 May 2024 · almost 2 years ago
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Stanford CS236: Deep Generative Models I 2023 I Lecture 3 - Autoregressive Models
06 May 2024 · almost 2 years ago
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Stanford CS236: Deep Generative Models I 2023 I Lecture 13 - Score Based Models
06 May 2024 · almost 2 years ago
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Stanford CS236: Deep Generative Models I 2023 I Lecture 4 - Maximum Likelihood Learning
06 May 2024 · almost 2 years ago
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Stanford CS236: Deep Generative Models I 2023 I Lecture 12 - Energy Based Models
06 May 2024 · almost 2 years ago
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Stanford CS236: Deep Generative Models I 2023 I Lecture 9 - Normalizing Flows
06 May 2024 · almost 2 years ago
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Stanford Seminar - Towards Safe and Efficient Learning in the Physical World
19 Apr 2024 · 2 years ago
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Stanford Webinar - Democratizing Model Discovery with Neural Networks
09 Jan 2024 · over 2 years ago
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