Name: Madison Smith
Type: User
Bio: I am Madison Smith from College of Informatics and Computer Management.
Location: Xinjiang University is No. 666 Hetian Street, Shayibake District, Urumqi City, Xinjiang Uygur Autonomous Region, China.
Madison Smith's Projects
基于SpringBoot2.x、SpringCloud和SpringCloudAlibaba并采用前后端分离的企业级微服务多租户系统架构。并引入组件化的**实现高内聚低耦合,项目代码简洁注释丰富上手容易,适合学习和企业中使用。真正实现了基于RBAC、jwt和oauth2的无状态统一权限认证的解决方案,面向互联网设计同时适合B端和C端用户,支持CI/CD多环境部署,并提供应用管理方便第三方系统接入;同时还集合各种微服务治理功能和监控功能。模块包括:企业级的认证系统、开发平台、应用监控、慢sql监控、统一日志、单点登录、Redis分布式高速缓存、配置中心、分布式任务调度、接口文档、代码生成等等。
Official implementation for Mini-Gemini
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
Opendial对话语料库
Object detection and instance segmentation toolkit based on PaddlePaddle.
基于PaddlePaddle实现的语音识别,中文语音识别。项目完善,识别效果好。支持Windows,Linux下训练和预测,支持Nvidia Jetson开发板预测。
Inference and training library for high-quality TTS models.
AIML开源框架
Pytorch实现的人脸识别明细MobileFaceNet模型,在预测使用MTCNN检测人脸,然后使用MobileFaceNet模型识别。
腾讯云官方文档
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
Code for the Recognize Anything Model (RAM) and Tag2Text Model
one-click face swap
Display and control your Android device
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
Python library for processing Chinese text
Stable Diffusion web UI
stable diffusion webui colab
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
本项目是基于Pytorch的语音合成项目,使用的是VITS,VITS是一种语音合成方法,这种时端到端的模型使用起来非常简单,不需要文本对齐等太复杂的流程,直接一键训练和生成,大大降低了学习门槛。
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
🤖 wukong-robot 是一个简单、灵活、优雅的中文语音对话机器人/智能音箱项目。
WEB VIDEO PLATFORM是一个基于GB28181-2016标准实现的网络视频平台,支持NAT穿透,支持海康、大华、宇视等品牌的IPC、NVR、DVR接入。支持国标级联,支持rtsp/rtmp等视频流转发到国标平台,支持rtsp/rtmp等推流转发到国标平台。
WebRTC/RTSP/RTMP/HTTP/HLS/HTTP-FLV/WebSocket-FLV/HTTP-TS/HTTP-fMP4/WebSocket-TS/WebSocket-fMP4/GB28181/SRT server and client framework based on C++11