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A collection of Jupyter notebooks showcasing the use of Generative AI models, including Large Language Models (LLMs), Vision-Language Models (VLMs), and Diffusion Models

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GenAI-Hub

A collection of Jupyter notebooks showcasing the use of Generative AI models, including Large Language Models (LLMs), Vision-Language Models (VLMs), and Diffusion Models

Models

Index (by model)

  • BEN2 — segmentation, HR-seg, DIS
  • CLIP — contrastive, image-features, text-features
  • DepthAnything — depth-estimation
  • DepthPro — depth-estimation
  • DiffDIS — segmentation, HR-seg, DIS
  • DPT — depth-estimation
  • OVSeg — segmentation, oopen-vocab segmentation
  • OWL-v2 — detection, ovd
  • OWL-ViT — detection, ovd
  • SAM — segmentation
  • SAM-2 — segmentation
  • SAM-HQ — segmentation
  • SAMRefiner — segmentation, seg-refinement
  • SmolVLM — VLM, VQA
  • VGGT — 3D

Index (by task)

3D

contrastive

depth-estimation

detection

DIS

HR-seg

image-features

oopen-vocab segmentation

ovd

seg-refinement

segmentation

text-features

VLM

VQA

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A collection of Jupyter notebooks showcasing the use of Generative AI models, including Large Language Models (LLMs), Vision-Language Models (VLMs), and Diffusion Models

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