Queryable
bark.cpp
| Queryable | bark.cpp | |
|---|---|---|
| 5 | 4 | |
| 2,424 | 542 | |
| - | - | |
| 7.9 | 8.1 | |
| 18 days ago | 4 days ago | |
| Swift | C++ | |
| MIT License | MIT License |
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Queryable
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I accidentally built a meme search engine
You might be interested in this, https://github.com/mazzzystar/Queryable, https://queryable.app/
I run it on my iPhone.
Native app. Doesn't require a network connection (great for privacy).
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Meta's Segment Anything written with C++ / GGML
I think you would want to use something like CLIP embeddings for image search.
Really enjoyed using this app for iOS: https://github.com/mazzzystar/Queryable
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Shortcuts ?
This project is open source, so maybe someone will help implement it in the future. :)
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[P] I open sourced Queryable - a CLIP-based photo search app (SwiftUI)
Many Americans distrust Chinese developers, fearing their photo album privacy would be violated and therefore are reluctant to use the product. I often receive emails from some developers asking about technical details. Now that it's free, why not make the source code available too. The link is: https://github.com/mazzzystar/Queryable.
bark.cpp
- Show HN: I ported Suno AI's Bark model in C for fast realistic audio generation
- Bark.cpp: Port of Suno AI's Bark in C/C++ for fast inference
- I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
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Meta's Segment Anything written with C++ / GGML
Another GGML model port that I'm pretty excited about is https://github.com/PABannier/bark.cpp.
The Bark python model is very compute intensive and require a powerful GPU to get bearable inference speed. I really hope that bark.cpp with GPU/Metal support and quanticized model can bring useful inference speed on a laptop in the near future.
What are some alternatives?
clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them
sam.cpp
natural-language-image-search - Search photos on Unsplash using natural language
aub.ai - AubAI brings you on-device gen-AI capabilities, including offline text generation and more, directly within your app.
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
llm - An ecosystem of Rust libraries for working with large language models
natural-language-youtube-search - Search inside YouTube videos using natural language
StyleTTS2 - StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
vit.cpp - Inference Vision Transformer (ViT) in plain C/C++ with ggml
MoTIS - [NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)
stable-diffusion.cpp - Stable Diffusion in pure C/C++