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  1. Unclaimed Colabs

    Image Similarity

    Detecting similar images, e.g. for recognizing same person or duplicated images.
  2. Unclaimed Colabs

    Learn to paint

    Teach machines to paint like human painters
  3. Unclaimed Colabs

    Pneumonia detection

    Detect pneumonia from medical x-ray images
  4. Unclaimed Colabs

    Traffic Counting

    Counts the traffic on roads
  5. Sentigral

    Sentigral People Tracking and Counting

    Find all the people in a video, Count how many there are in shot, Count how many there have been in total (with no duplication when someone leaves and re-enters), and Track all the movements of all the individual people. Get the output as annotated images or videos, and as JSON metadata. Can...
  6. Unclaimed Colabs

    StyleGAN3 + CLIP

    StyleGAN3 + CLIP 🖼️ Generate images from text prompts using NVIDIA's StyleGAN3 with CLIP guidance. Head over here if you want to be up to date with the changes to this notebook and play with other alternatives. The original code was written by nshepperd* (https://github.com/nshepperd), and...
  7. Unclaimed Colabs

    DALL·E mini

    This notebook illustrates DALL·E mini inference pipeline. Just want to play? Use directly the app. For more understanding of the model, refer to the report.
  8. Unclaimed Colabs

    Stable Diffusion

    Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from CompVis, Stability AI and LAION. It's trained on 512x512 images from a subset of the LAION-5B database. This model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text...
  9. Unclaimed Colabs


    Produce dream-alike imagery
  10. Unclaimed Colabs

    Big GAN

    Produce photorealistic images
  11. Unclaimed Colabs

    Style Transfer

    Transfer style of an image to another
  12. Unclaimed Colabs


    Colorization of Videos
  13. Sentigral

    Object Detection - COCO, Yolov5

    Identify all the objects in images or videos from 80 available common object types. Get the output as annotated images or videos, and as JSON metadata.
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