natural-language-image-search VS Queryable

Compare natural-language-image-search vs Queryable and see what are their differences.

Queryable

Run OpenAI's CLIP model on iOS to search photos. (by mazzzystar)
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natural-language-image-search Queryable
9 5
927 2,424
- -
0.0 7.9
over 1 year ago 15 days ago
Jupyter Notebook Swift
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

natural-language-image-search

Posts with mentions or reviews of natural-language-image-search. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-04.

Queryable

Posts with mentions or reviews of Queryable. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-13.

What are some alternatives?

When comparing natural-language-image-search and Queryable you can also consider the following projects:

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them

natural-language-youtube-search - Search inside YouTube videos using natural language

aphantasia - CLIP + FFT/DWT/RGB = text to image/video

fastbook - The fastai book, published as Jupyter Notebooks

steam-image-search - Search for images on Steam using natural language queries.

Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

datasets - 🎁 5,400,000+ Unsplash images made available for research and machine learning

MoTIS - [NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)

Puddles - A native SwiftUI app architecture

Chinese-CLIP - Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.