Full Stack Deep Learning - How to plan for a Deep Learning project
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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Multi-armed Bandits Algorithms
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Insights into Twitter Recommendation System
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Future Blog Post
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Posts
A Deep Dive into Latent Diffusion model - Stable Diffusion
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AI image generation is one of the notable AI advances recently. The ability to create striking visuals from text descriptions has a magical quality to it and points clearly to a shift in how humans create art. The release of Stable Diffusion is a clear milestone in this development because it made a high-performance model available to the masses (performance in terms of image quality, as well as speed and relatively low resource/memory requirements).
Insights into Twitter Recommendation System
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In this article, I will go into insights about the recommendation systems at Twitter, particularly the components that power tweet and account recommendations.
Multi-armed Bandits Algorithms
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In recommendations setting, one would occasionally come across multi-armed bandits algorithm mentioned as a method to serve recommended content. In this article, I will go over what bandit algorithms mean, what the popular algorithms are, as well as how multi-armed bandits are used in recommendations.
Full Stack Deep Learning - How to plan for a Deep Learning project
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Full Stack Deep Learning is a 2-day bootcamp organized by Pieter Abbeel, Sergey Karayev and Josh Tobin. Different from fast.ai or the Andrew Ng’s Deep Learning Specialization, this course focuses more on the practical aspects of deep learning (DL), such as productionizing DL, collecting data, defining scopes for the project, etc.
portfolio
Portfolio item number 1
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Short description of portfolio item number 1
Portfolio item number 2
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Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.