C
CLIP_Surgery
xmed-lab/CLIP_Surgery
[Pattern Recognition 25] CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
★483stars
Jupyter Notebook
Updated: 1w ago
📋 Project at a Glance
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What's this?Security & Governance project leveraging clip and explainability, built with Jupyter Notebook, open-source
Who made it?Maintained by xmed-lab team, 483⭐ on GitHub, #201 out of 413 in Security & Governance
Why does it exist?As the Security & Governance landscape evolved, the xmed-lab team identified the need for better clip solutions. CLIP_Surgery was created to simplify explainability workflows.
What can it do?Key use cases: interpretability, multilabel, multimodal
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/xmed-lab/CLIP_Surgery
🔗 github.com/xmed-lab/CLIP_Surgery
Topics
clipexplainabilityinterpretabilitymultilabelmultimodalopen-vocabularysamsegment-anythingsegmentationvision-transformer