T
tidy
slavabarkov/tidy
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
★592stars
Kotlin
GPL-3.0
Updated: 2d ago
📋 Project at a Glance
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What's this?A open-source AI Applications project, built with Kotlin, focusing on android and clip
Who made it?Maintained by slavabarkov team, 592⭐ on GitHub, #560 out of 1371 in AI Applications
Why does it exist?As the AI Applications landscape evolved, the slavabarkov team identified the need for better android solutions. tidy was created to simplify clip workflows.
What can it do?Key use cases: computer-vision, cross-modal-retrieval, deep-learning
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/slavabarkov/tidy
🔗 github.com/slavabarkov/tidy
Topics
androidclipcomputer-visioncross-modal-retrievaldeep-learningimage-retrievalimage-searchimage-text-matchingimage-text-retrievalkotlinnlponnxquantizationsemantic-search