buzz
gpt-2
buzz | gpt-2 | |
---|---|---|
21 | 64 | |
9,869 | 21,146 | |
- | 2.0% | |
8.5 | 2.5 | |
20 days ago | 24 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
buzz
- Buzz: Transcribe and translate audio offline on your personal computer
- MacWhisper: Transcribe audio files on your Mac
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Build Personal ChatGPT Using Your Data
Easiest 1-click way to install and use Stable Diffusion on your computer."
https://github.com/easydiffusion/easydiffusion
And while Whisper is OpenAI, it is trivial to use locally and extremely usefull
https://github.com/chidiwilliams/buzz
- automated transcription software that is HIPAA compliant?
- Question: Does anyone know of an AI or ChatGPT tool to create automatic SRT caption files by uploading a video?
- Brauchbare Speech-to-Text Lösungen für Windows?
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I've pretty much had it with Premiere.
Install this for Resolve
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As a Foreign student, I record letures alot so I can review it anytime. Thanks to Obsidian Audio Player its feels so effortless to review those records.
Just use this one: https://github.com/chidiwilliams/buzz
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Whispers AI Modular Future
What utilities related to Whisper do you wish existed? What have you had to build yourself?
On the end user application side, I wish there was something that let me pick a podcast of my choosing, get it fully transcribed, and get an embeddings search plus answer q&a on top of that podcast or set of chosen podcasts. I've seen ones for specific podcasts, but I'd like one where I can choose the podcast. (Probably won't build it)
Also on the end user side, I wish there was an Otter alternative (still paid $30/mo, but unlimited minutes per month) that had longer transcription limits. (Started building this, not much interest from users though)
Things I've seen on the dev tool side:
Gladia (API call version of Whisper)
Whisper.cpp
Whisper webservice (https://github.com/ahmetoner/whisper-asr-webservice) - via this thread
Live microphone demo (not real time, it still does it in chunks) https://github.com/mallorbc/whisper_mic
Streamlit UI https://github.com/hayabhay/whisper-ui
Whisper playground https://github.com/saharmor/whisper-playground
Real time whisper https://github.com/shirayu/whispering
Whisper as a service https://github.com/schibsted/WAAS
Improved timestamps and speaker identification https://github.com/m-bain/whisperX
MacWhisper https://goodsnooze.gumroad.com/l/macwhisper
Crossplatform desktop Whisper that supports semi-realtime https://github.com/chidiwilliams/buzz
- Any suggestions for easy ways to add subtitles to YouTube videos?
gpt-2
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What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more
Medium models: Roughly between 1B to 10B parameters. This is where Mistral 7B, Phi-3, Gemma from Google DeepMind, and wizardlm2 sit. Fun fact: GPT 2 was a medium sized model, much smaller than its latest versions.
- Sam Altman is still trying to return as OpenAI CEO
- Build Personal ChatGPT Using Your Data
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Are the recent advancements in AI technology primarily driven by recent discoveries or the progress in hardware capabilities and the abundance of available data?
"Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applications of the technology, we are not releasing the trained model. As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper. "
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BING IS NOW THE DEFAULT SEARCH FOR CHATGPT
They did release GPT-2 under the MIT License.
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Don Knuth Plays with ChatGPT
Did you arrive at this certainty through reading something other than what OpenAI has published? The document [0] that describes the training data for GPT-2 makes this assertion hilarious to me.
[0]: https://github.com/openai/gpt-2/blob/master/model_card.md#da...
- Was frustriert euch an der Nutzung oder der Diskussion um KI?
- The AI
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Help with pet project to learn - Running ChatGPT-2 at home
I made a clone of https://github.com/openai/gpt-2 on my local laptop
- По поводу опасности ИИ и предложений остановить разработки на 6 месяцев.
What are some alternatives?
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
dalle-mini - DALL·E Mini - Generate images from a text prompt
openai-whisper-cpu - Improving transcription performance of OpenAI Whisper for CPU based deployment
minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
StoryToolkitAI - An editing tool that uses AI to transcribe, understand content and search for anything in your footage, integrated with ChatGPT and other AI models
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
audapolis - an editor for spoken-word audio with automatic transcription
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
whisper-diarization - Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
text-to-speech-ubuntu - 🙊 Setup "selectable" text to speech / TTS on Ubuntu Linux 24.04 22.04 22.10 23.04 23.10 . Ideal for speed reading, programming, editing and writing.
jukebox - Code for the paper "Jukebox: A Generative Model for Music"