MedAlpaca expands upon both Stanford Alpaca and AlpacaLoRA to offer an advanced suite of large language models specifically fine-tuned for medical question-answering and dialogue applications. Our primary objective is to deliver an array of open-source language models, paving the way for seamless development of medical chatbot solutions.
That being said, some enhancements added compared to the original repo: :heavycheckmark: Possible to train in other languages :heavycheckmark: Hifigan added, allowing for faster inference at the cost of quality. :heavycheckmark: whisper-v3 added as a chooseable option for whisperx :heavycheckmark: Output conversion using RVC This is a fork of the repo originally located here: https://git.ecker.tech/mrq/ai-voice-cloning.
Implementation of Band Split Roformer , SOTA Attention network for music source separation out of ByteDance AI Labs. They beat the previous first place by a large margin.
Implementation of SoundStorm , Efficient Parallel Audio Generation from Google Deepmind, in Pytorch. They basically applied MaskGiT to the residual vector quantized codes from Soundstream .
🐸TTS is a library for advanced Text-to-Speech generation. 🛠️ Tools for training new models and fine-tuning existing models in any language.
SimpleTuner is geared towards simplicity, with a focus on making the code easily understood. This codebase serves as a shared academic exercise, and contributions are welcome.
It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection.
Please cite our following papers if you use the data set for your publications. Other branches such as "new-schema" are outdated and unstable.
Easily use and train state of the art retrieval methods in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
MarkPDFDown English | 中文 | 日本語 | Русский | فارسی | العربية [![Size]][huburl] [![Pulls]][huburl] [![Tag]][tagurl] [![License]][licenseurl] A powerful tool that leverages multimodal large language models to transcribe PDF files into Markdown format. Try our desktop application for a more user-friendly experience!
MedAlpaca expands upon both Stanford Alpaca and AlpacaLoRA to offer an advanced suite of large language models specifically fine-tuned for medical question-answering and dialogue applications. Our primary objective is to deliver an array of open-source language models, paving the way for seamless development of medical chatbot solutions.
That being said, some enhancements added compared to the original repo: :heavycheckmark: Possible to train in other languages :heavycheckmark: Hifigan added, allowing for faster inference at the cost of quality. :heavycheckmark: whisper-v3 added as a chooseable option for whisperx :heavycheckmark: Output conversion using RVC This is a fork of the repo originally located here: https://git.ecker.tech/mrq/ai-voice-cloning.
Implementation of Band Split Roformer , SOTA Attention network for music source separation out of ByteDance AI Labs. They beat the previous first place by a large margin.
Implementation of SoundStorm , Efficient Parallel Audio Generation from Google Deepmind, in Pytorch. They basically applied MaskGiT to the residual vector quantized codes from Soundstream .
🐸TTS is a library for advanced Text-to-Speech generation. 🛠️ Tools for training new models and fine-tuning existing models in any language.
SimpleTuner is geared towards simplicity, with a focus on making the code easily understood. This codebase serves as a shared academic exercise, and contributions are welcome.
It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection.
Please cite our following papers if you use the data set for your publications. Other branches such as "new-schema" are outdated and unstable.
Easily use and train state of the art retrieval methods in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
MarkPDFDown English | 中文 | 日本語 | Русский | فارسی | العربية [![Size]][huburl] [![Pulls]][huburl] [![Tag]][tagurl] [![License]][licenseurl] A powerful tool that leverages multimodal large language models to transcribe PDF files into Markdown format. Try our desktop application for a more user-friendly experience!