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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The fastai book, published as Jupyter Notebooks
PyTorch code and models for the DINOv2 self-supervised learning method.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
LAVIS - A One-stop Library for Language-Vision Intelligence