imgbeddings
StyleTTS2
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| imgbeddings | StyleTTS2 | |
|---|---|---|
| 8 | 7 | |
| 122 | 4,036 | |
| - | - | |
| 0.0 | 8.7 | |
| about 2 years ago | 15 days ago | |
| Python | Python | |
| MIT License | MIT License |
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.
imgbeddings
- FLaNK Stack Weekly for 20 Nov 2023
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Content-Based Image Retrieval
Seconding the recommendation of CLIP embeddings, especially compared to image histograms + requiring OpenCV.
I wrote a naive, minimal dependency Python package to calculate image embeddings (https://github.com/minimaxir/imgbeddings) with some lookup demo notebooks and it works well in a pinch, although it's due for an upgrade.
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How to build a working AI only using synthetic data in just 5 minutes
Normally, this is Hacker News reductiveness, but yes, image classification via CLIP is that easy, especially with Hugging Face's API for it: https://huggingface.co/docs/transformers/model_doc/clip
I created a Python package to generate image embeddings from CLIP's vision model (without requiring a ML framework), and a simple linear classifier on those embeddings does the trick: https://github.com/minimaxir/imgbeddings
- GitHub - minimaxir/imgbeddings: Python package to generate image embeddings with CLIP without PyTorch/TensorFlow
- Show HN: Python package to create image embeddings without PyTorch/TensorFlow
- I've released a Python package which lets you generate vector representations of images clustering/similarity search/classifier building with a twist: neither PyTorch nor TensorFlow is used!
- [P] I've released a Python package which lets you generate vector representations of images with a twist: neither PyTorch nor TensorFlow is used!
- Show HN: Python package to create image embeddings with o PyTorch/TensorFlow
StyleTTS2
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Hello guys, any selfhosted alternative to eleven labs?
Take a look at StyleTTS2
- I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
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Robot Dad
Love it OP!
Check out https://github.com/yl4579/StyleTTS2
For your local voice cloning needs.
HN discussion here https://news.ycombinator.com/item?id=38335255
Funny I’ve been talking about cloning my dad for a while in this same fashion. Thanks for the inspiration.
- FLaNK Stack Weekly for 20 Nov 2023
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
To save people some time, this is tested on Ubuntu 22.04 (google is being annoying about the download link, saying too many people have downloaded it in the past 24 hours, but if you wait a bit it should work again):
git clone https://github.com/yl4579/StyleTTS2.git -
Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning
You're in luck, the code dropped 6 hours ago :) https://github.com/yl4579/StyleTTS2
What are some alternatives?
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piper - A fast, local neural text to speech system
FLaNK-EveryTransitSystem - Every transit system
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
dalle2-in-python - Use DALL·E 2 in Python
bark - 🔊 Text-Prompted Generative Audio Model