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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 #14911 · 07/03/2025, 03:30 PM

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#javascript#hacktoberfest#oas#open_source#openapi#openapi_specification#openapi3#openapi31#rest#rest_api#swagger#swagger_api#swagger_js#swagger_oss#swagger_ui Swagger UI is a tool that helps developers and users interact with APIs. It creates a visual interface from OpenAPI specifications, making it easy to understand and use APIs without needing to know the underlying code. This tool benefits users by providing clear documentation and allowing them to test API methods directly from the interface. It also supports collaboration and compliance with the latest OpenAPI standards, making it easier to develop and consume APIs efficiently[1][3][5]. https://github.com/swagger-api/swagger-ui

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#javascript #hacktoberfest #oas #open_source #openapi #openapi_specification #openapi3 #openapi31 #rest #rest_api #swagger #swagger_api #swagger_js #swagger_oss #swagger_ui