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DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
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x-clip
A concise but complete implementation of CLIP with various experimental improvements from recent papers
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Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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ViTs-vs-CNNs
[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
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IPViT
Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)
Now is it possible that some of these images were a part of train set of these models ? Maybe, but we can't really be sure without having access to the original dataset. To this end, are there any works that study this phenomenon more deeply and technically (with metrics etc.) ? I know few attempts to reproduce DALL-E and CLIP on open datasets but not sure whether such studies have been performed. Unfortunately I lack both the resources as well as technical competency to perform such studies myself but would love to see if you folks know anything about this.
Now is it possible that some of these images were a part of train set of these models ? Maybe, but we can't really be sure without having access to the original dataset. To this end, are there any works that study this phenomenon more deeply and technically (with metrics etc.) ? I know few attempts to reproduce DALL-E and CLIP on open datasets but not sure whether such studies have been performed. Unfortunately I lack both the resources as well as technical competency to perform such studies myself but would love to see if you folks know anything about this.
Code for https://arxiv.org/abs/2105.10497 found: https://github.com/Muzammal-Naseer/Intriguing-Properties-of-Vision-Transformers
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