SungFeng-Huang
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A generative speech model for daily dialogue.
🎓 Unofficial LaTeX templates for your graduate thesis (both master's theses and doctoral dissertations) at National Taiwan University. 國立臺灣大學碩博士學位論文 LaTeX 模板
A PyTorch Library for Meta-learning Research
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
High-speed Large Language Model Serving for Local Deployment
Tools for handling speech data in machine learning projects.
The official repository of Dynamic-SUPERB.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
Implementation of Spear-TTS - multi-speaker text-to-speech attention network, in Pytorch
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
Official PyTorch implementation of the paper: Flow Matching in Latent Space
Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch
Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html
An unofficial PyTorch implementation of the audio LM VALL-E
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新中国人的核心宗教，核心信念。
A repository sharing slides of the talks I gave
🦜🔗 Build context-aware reasoning applications
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A PyTorch Lightning Callback for pushing models to the Hugging Face Hub 🤗⚡️
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.