git-re-basin
whisper
git-re-basin | whisper | |
---|---|---|
9 | 344 | |
438 | 60,617 | |
- | 3.1% | |
3.5 | 6.4 | |
about 1 year ago | 5 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.
git-re-basin
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Merge-Stable-Diffusion-models-without-distortion-gui
Implementation: https://github.com/samuela/git-re-basin
- I'm testing if the 1.5 and 2.0 model combine in Automatic 1111 now...
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I love SD but the pain is real
Wouldn't "applying the permutation" simply swap all the parameters in a model so they match on both models? For example, in https://github.com/samuela/git-re-basin/blob/main/src/cifar10_vgg_weight_matching.py, on line 184 they apply the permutation, and on line 192 they lerp from model A's params to the permuted model B's params. This lerp is basically a weighted sum merge, isn't it? At a lerp of 0.5, it would be somewhere in between model A and the permuted model B.
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Not really working, poorly coded sparse tensor compression of Dreambooth models. Help appreciated, code in comments
Definitely interesting, but you might get something useful out of https://github.com/samuela/git-re-basin ?
- Git Re-Basin: Merging models and preserving latent spaces (ie not the A111 linear interpolation)
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Most Popular AI Research Sept 2022 - Ranked Based On Total GitHub Stars
Git Re-Basin: Merging Models modulo Permutation Symmetries https://github.com/samuela/git-re-basin https://arxiv.org/abs/2209.04836v1
- [D] Most Popular AI Research Sept 2022 - Ranked Based On GitHub Stars
- Git Re-Basin: Merging Models Modulo Permutation Symmetries
whisper
- Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
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Why I Care Deeply About Web Accessibility And You Should Too
Let’s not talk about local models as the hardware requirements are way beyond most of these people’s reach. I have a MacBook Air with an M2 chip and 8GB of RAM and can hardly run Whisper locally, so I use this HuggingFace space.
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How I built NotesGPT – a full-stack AI voice note app
Last week, I launched notesGPT, a free and open source voice note app that has 35,000 visitors, 7,000 users, and over 1,000 GitHub stars so far in the last week. It allows you to record a voice note, transcribes it uses Whisper, and uses Mixtral via Together to extract action items and display them in an action items view. It’s also fully open source and comes equipped with authentication, storage, vector search, action items, and is fully responsive on mobile for ease of use.
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Ask HN: Can AI break a speech audio into individual words?
I found a pretty good discussion in the topic here:
https://github.com/openai/whisper/discussions/1243
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WhisperSpeech – An Open Source text-to-speech system built by inverting Whisper
There is a plot of language performance on their repo: https://github.com/openai/whisper
I am not aware of a multi-lingual leaderboard for speech recognition models.
- Ask HN: AI that allows you to make phone calls in a language you don't speak?
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Ask HN: Favorite Podcast Episodes of 2023?
I don't know how OP does it, but here's how I'd do it:
* Generate a transcript by runing Whisper against the podcast audio file: https://github.com/openai/whisper
* Upload transcript to ChatGPT and ask it to summarize.
* Automate all the above.
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Need advice
Ahh, that makes sense. I've been building something like that, but only from other languages into English using Whisper
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Subtitle is now open-source
Whisper already generates subtitles[0], supporting VTT and SRT so this is just a thin wrapper around that.
[0]: https://github.com/openai/whisper/blob/e58f28804528831904c3b...
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
> although it does require you to wear headphones so the bot doesn't hear itself and get interrupted.
Maybe you can rely on some sort of speaker identification to sort this out?
https://github.com/openai/whisper/discussions/264
What are some alternatives?
VToonify - [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
artbot-for-stable-diffusion - A front-end GUI for interacting with the AI Horde / Stable Diffusion distributed cluster
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
setfit - Efficient few-shot learning with Sentence Transformers
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Text2Light - [SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
whisper.cpp - Port of OpenAI's Whisper model in C/C++
storydalle
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.