#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
https://docs.pipenv.org/
#Pipenv — the officially recommended #Python#packaging tool from Python.org, free (as in freedom).
Pipenv is a tool that aims to bring the best of all packaging worlds (#bundler, #composer, #npm, #cargo, #yarn, etc.) to the Python world. #Windows is a first–class citizen, in our world.
It automatically creates and manages a #virtualenv for your projects, as well as adds/removes #packages from your #Pipfile as you install/uninstall packages. It also generates the ever–important Pipfile.lock, which is used to produce deterministic builds.
#python#api#bracket#brackets#docker#docusaurus#fastapi#json#mantine#nextjs#postgresql#python#react#reactjs#selfhosted#sports#tournament_bracket#tournament_manager#tournaments#web#yarn
Bracket is a tool for organizing tournaments. It supports different formats like single elimination, round-robin, and Swiss. You can create teams, add players, and manage multiple clubs with several tournaments. The system allows you to drag-and-drop matches to different courts or reschedule them. It also provides customizable dashboard pages for public viewing. This makes it easier to manage and engage with tournaments, offering more flexibility and control for organizers and participants.
https://github.com/evroon/bracket