Awesome-CLIP VS Queryable

Compare Awesome-CLIP vs Queryable and see what are their differences.

Awesome-CLIP

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

Queryable

Run OpenAI's CLIP model on iOS to search photos. (by mazzzystar)
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Awesome-CLIP Queryable
2 5
1,019 2,424
- -
0.0 7.9
9 months ago 20 days ago
Swift
- 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.

Awesome-CLIP

Posts with mentions or reviews of Awesome-CLIP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

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 Awesome-CLIP and Queryable you can also consider the following projects:

awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download

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

Awesome-Text-to-Image - (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

natural-language-image-search - Search photos on Unsplash using natural language

dl-colab-notebooks - Try out deep learning models online on Google Colab

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

TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. [Moved to: https://github.com/IIGROUP/TediGAN]

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

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.

bark.cpp - Port of Suno AI's Bark in C/C++ for fast inference