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Instant voice cloning by MIT and MyShell.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
An Open-Sourced LLM-empowered Foundation TTS System
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.
Automate Creation of YouTube Shorts using MoviePy.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
A high-performance, zero-overhead, extensible Python compiler using LLVM
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
open-source multimodal large language model that can hear, talk while thinking. Featuring real-time end-to-end speech input and streaming audio output conversational capabilities.
A high-throughput and memory-efficient inference and serving engine for LLMs
MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
OneDiff: An out-of-the-box acceleration library for diffusion models.
VideoSys: An easy and efficient system for video generation
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Train…
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the hea…
Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)