How I Understand Flow Matching
16:25
YouTubeJia-Bin Huang
How I Understand Flow Matching
Flow matching is a new generative modeling method that combines the advantages of Continuous Normalising Flows (CNFs) and Diffusion Models (DMs). In this tutorial, I share my understanding of the basics of flow matching and provide an overview of how these ideas evolve over time. Check out the resources below to learn more about this topic ...
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Improving and generalizing flow-based generative models with minibatch optimal transport Flow-based Generative Models
Artificial intelligence innovator and Coursera co-founder Andrew Ng is back with another course – Generative AI with Large Language Models – built by DeepLearning.AI in collaboration with AWS! Learn how to understand the Large Language Model-based generative AI lifecycle, choose the right LLM, optimize training for your task, and more. Enroll now! https://bit.ly/3pzp1rP #onlinelearning #largelanguagemodels #generativeai | Coursera
1:58
Artificial intelligence innovator and Coursera co-founder Andrew Ng is back with another course – Generative AI with Large Language Models – built by DeepLearning.AI in collaboration with AWS! Learn how to understand the Large Language Model-based generative AI lifecycle, choose the right LLM, optimize training for your task, and more. Enroll now! https://bit.ly/3pzp1rP #onlinelearning #largelanguagemodels #generativeai | Coursera
FacebookCoursera
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Proteina: Scaling Flow-based Protein Structure Generative Models
Proteina: Scaling Flow-based Protein Structure Generative Models
linkedin.com
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Flow With What You Know – Scott H. Hawley
Flow With What You Know – Scott H. Hawley
github.io
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