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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 #128 · 08/31/2016, 03:33 PM
https://pypi.python.org/pypi/pytz? #pytz brings the Olson tz database into Python. This library allows accurate and cross platform #timezone calculations using Python 2.4 or higher. It also solves the issue of ambiguous times at the end of daylight saving time, which you can read more about in the Python Library Reference (`datetime.tzinfo`).