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Source channel @githubtrending · Post #15365 · Dec 24
#jupyter_notebook DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images. https://github.com/facebookresearch/dinov3
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@djangoproject · Post #461 · 10/04/2017, 04:20 AM
http://jcalderone.livejournal.com/tag/sixty%20seconds Greetings, and welcome back to "Twisted Web in 60 Seconds". In the previous entry, back at the beginning of December, I promised to cover Twisted Web's proxying capabilities. For various reasons I've decided to dump that topic and cover something else instead. So, prepare to learn about #Twisted Web's CGI capabilities! #learn
@djangoproject · Post #458 · 10/04/2017, 04:02 AM
http://krondo.com/an-introduction-to-asynchronous-programming-and-twisted/ Twisted Introduction This multi-part series introduces #Asynchronous Programming and the Twisted networking framework. #Twisted is an event-driven networking engine written in #Python and licensed under the open source MIT license. Twisted runs on Python 2 and an ever growing subset also works with Python 3. #network#learn