Show HN: Oxlip – a functional IDL compiling to OpenAPI https://ift.tt/07OvaCq
Show HN: Oxlip – a functional IDL compiling to OpenAPI https://ift.tt/yfPsXd1 September 3, 2023 at 06:06PM
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How Xi Returned China to One-Man Rule
By Weiyi Cai, Aaron Byrd, Chris Buckley and Pablo Robles from NYT World https://ift.tt/DjronPN via IFTTT
Manhunt for Pennsylvania Fugitive Narrows to Area Near Prison
By Joel Wolfram and Colbi Edmonds from NYT U.S. https://ift.tt/hU1b2oH via IFTTT
Show HN: Menu Bar Calendar on macOS https://ift.tt/k1oq03D
Show HN: Menu Bar Calendar on macOS https://ift.tt/H98cEnV September 3, 2023 at 02:27AM
Venice Film Festival: All Your Questions About Bradley Cooper’s ‘Maestro’ Answered
By Kyle Buchanan from NYT Movies https://ift.tt/AJmUu9t via IFTTT
Show HN: Modular Diffusion – A modular Python library for diffusion models https://ift.tt/yFahsZl
Show HN: Modular Diffusion – A modular Python library for diffusion models Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process (noise schedule, noise type, denoising network, loss function, guidance, etc.) and allow the user to mix and match different modules to achieve different results. The library ships with a bunch of prebuilt modules and the plan is to add many more. I also made it super easy to implement your own modules, you just need to...
Jimmy Buffett Was More Than Beaches and Booze
By Jon Pareles from NYT Arts https://ift.tt/vcWGxzL via IFTTT