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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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@githubtrending · Post #15341 · 12/18/2025, 11:30 AM

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#c_lang#driver#flash#jedec#jedec_sfdp#qspi#sfdp#sfdp_flash#spi_flash#universal_driver **SFUD** is an open-source library that drives many SPI/QSPI Flash chips from brands like Winbond and Macronix. It auto-detects chip specs via the **SFDP** standard or a built-in table, letting you read, write, erase, and init with simple APIs after easy config. This helps you avoid risks from Flash shortages or upgrades, boosts software reuse across projects, cuts dev time, and enables tools like programmers—saving effort on varied hardware. https://github.com/armink/SFUD

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#c_lang #driver #flash #jedec #jedec_sfdp #qspi #sfdp #sfdp_flash #spi_flash #universal_driver