aphantasia VS Queryable

Compare aphantasia vs Queryable and see what are their differences.

aphantasia

CLIP + FFT/DWT/RGB = text to image/video (by eps696)

Queryable

Run OpenAI's CLIP model on iOS to search photos. (by mazzzystar)
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aphantasia Queryable
21 5
769 2,424
- -
3.9 7.9
6 months ago 17 days ago
Python 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.

aphantasia

Posts with mentions or reviews of aphantasia. 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 aphantasia and Queryable you can also consider the following projects:

stylegan - StyleGAN - Official TensorFlow Implementation

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

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

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

big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

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

Colab-BigGANxCLIP

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

StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

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

sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.

Puddles - A native SwiftUI app architecture