elderman's starred repositories
chatgpt-mirai-qq-bot
🚀 一键部署!真正的 AI 聊天机器人!支持ChatGPT、文心一言、讯飞星火、Bing、Bard、ChatGLM、POE,多账号,人设调教,虚拟女仆、图片渲染、语音发送 | 支持 QQ、Telegram、Discord、微信 等平台
faster-whisper
Faster Whisper transcription with CTranslate2
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Fay
Fay is an open-source digital human framework integrating language models and digital characters. It offers retail, assistant, and agent versions for diverse applications like virtual shopping guides, broadcasters, assistants, waiters, teachers, and voice or text-based mobile assistants.
CapsWriter-Offline
CapsWriter 的离线版,一个好用的 PC 端的语音输入工具
AI-Vtuber
AI Vtuber是一个由 【ChatterBot/ChatGPT/claude/langchain/chatglm/text-gen-webui/闻达/千问/kimi/ollama】 驱动的虚拟主播【Live2D/UE/xuniren】,可以在 【Bilibili/抖音/快手/微信视频号/拼多多/斗鱼/YouTube/twitch/TikTok】 直播中与观众实时互动 或 直接在本地进行聊天。它使用TTS技术【edge-tts/VITS/elevenlabs/bark/bert-vits2/睿声】生成回答并可以选择【so-vits-svc/DDSP-SVC】变声;指令协同SD画图。
Live2d-model
Live2d model collection
comflowyspace
Comflowyspace is an intuitive, user-friendly, open-source AI tool for generating images and videos, democratizing access to AI technology.
PyTorch-Tutorial-2nd
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
VirtualWife
VirtualWife是一个虚拟数字人项目,支持B站直播,支持openai、ollama
hugging-multi-agent
A tutorial based on MetaGPT to quickly help you understand the concept of agent and muti-agent and get started with coding development. 基于MetaGPT的多智能体入门与开发教程
Vtuber_Tutorial
【教程】从零开始的自制Vtuber!
PyMuPDF-Utilities
Demos, examples and utilities using PyMuPDF
emotion2vec
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
LinuxBashShellScriptForOps
Linux Bash Shell Script and Python Script For Ops and Devops
Machine-Learning-for-Beginner-by-Python3
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
metahuman_overview
数字人资料整理
Whisper-Finetune
Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment
stream-whisper
基于 faster-whisper 的伪实时语音转写服务
Coursera-ML-AndrewNg-Notes
2014黄海广-吴恩达老师的机器学习课程个人笔记