StellaLin030

StellaLin030's Stars

• MousaviSajad/SleepEEGNet

  SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

  Language:Python20773

• akaraspt/deepsleepnet

  DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

  Language:Python398153

• 1357310795/MyComputerManager

  管理“此电脑”里删不掉的流氓“快捷方式”（包括侧边栏），同时可自己添加这类“快捷方式”

  Language:C#2.4k101

• TerraMours/TerraMours_Gpt_Web

  TerraMours实战项目，基于vue3.0+ts+naive UI+vite的ChatGPT项目前端。实现用户登陆和基于SK的多语言模型聊天、基于chatgpt和SD的多模型图片生成等功能。

  Language:HTML10718

• RVC-Boss/GPT-SoVITS

  1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

  Language:Python33.6k3.9k

• xiangyuecn/Recorder

  html5 js 录音 mp3 wav ogg webm amr g711a g711u 格式，支持pc和Android、iOS部分浏览器、Hybrid App（提供Android iOS App源码）、微信，提供ASR语音识别转文字 H5版语音通话聊天示例 DTMF编码解码

  Language:JavaScript4.8k1k

• Carlofkl/HIT2022CompilerPrinciple

  哈工大2022春编译系统（原理）实验

  Language:C405

• titicaca/spark-iforest

  Isolation Forest on Spark

  Language:Scala22690

• lkev/wtphm

  SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd

  Language:Python7020

• GCShawn/WT_fault_identification

  Wind Turbine Fault Identification using Machine Learning Techniques applied to SCADA data

  Language:Python417

• cheungwoonming/DF-SCADA-data-restoration

  DataFountain海上风场SCADA数据缺失智能修复-top3代码开源

  Language:Python106

• BDBC-KG-NLP/QA-Survey-CN

  北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

  1.7k261

• abhijithneilabraham/tableQA

  AI Tool for querying natural language on tabular data.

  Language:Python30046

• InsaneLife/ChineseNLPCorpus

  中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

  Language:Python4.3k784

• NumbersStationAI/NSQL

  Numbers Station Text to SQL model code.

  Language:Python22930

• BeanWei/flask-user-api-template

  flask + Vue => 前后端分离, 提供一个可以复用的 用户注册登录，QQ邮箱接收验证码，Token验证，session/cookie 登录的 模板

  Language:Python16658

• Sharpiless/PaddleX-Flask-VUE-demo

  基于PaddleX+Flask开发后端，基于VUE开发前端应用，做一个AI医疗的WEB应用

  Language:Vue15250

• vanna-ai/vanna

  🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

  Language:Python11k862

• rst0070/Rawformer-implementation-anti-spoofing

  Pytorch implementation of "LEVERAGING POSITIONAL-RELATED LOCAL-GLOBAL DEPENDENCY FOR SYNTHETIC SPEECH DETECTION"

  Language:Python231

• talkingnow/HM-Conformer

  Language:Python231

• yeyupiaoling/VoiceprintRecognition-Pytorch

  This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

  Language:Python761120

• zhisheng17/flink-learning

  flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

  Language:Java14.5k3.9k

• xiaour/SpringBootDemo

  🍃SpringBoot系列Demo；SpringBoot、MyBatis、Redis、MySql、Kafka、RocketMQ

  Language:Java783426

• nzymedefense/nzyme

  Network Defense System.

  Language:Java1.4k145

• JeffSackmann/tennis_MatchChartingProject

  Raw, user-submitted point-by-point data for pro tennis matches

  24089

• HMS-Core/hms-wear-engine-demo

  Language:Java2919

• mikepanayides/Internet-of-Things-Connections-Data-exchange-and-security

  This project is about securing the connections and data exchange in low power devices used for Internet of Things. Nowadays IoT is becoming very popular, this kind of project can be helpful when talking about the connection between the devices and the issues of security than can occur. Project uses two Raspberry Pi that are connected based on client-server mode, one Pi is the server and the other Pi is the client, Python is used for coding. The purpose of the project is to create a connection that is secure, so the data sent through this connection will be safe. Connection is made safe by implementing the MQTT protocol using username and password. Using some commands from the client data will be sent, after the connection is made, no other device can be communicating with the server at this stage, only one client at a time can send messages to the server. Using a MQTT broker there is the capability to manipulate the model of operation and add more clients to the network, if it's needed. The program is executed from the command line. In few words this project is simulating an IoT system.

  2

• fizzcarry/AirSign-A-Gesture-based-Smartwatch-User-Authentication

  论文复现：AirSign: A Gesture-based Smartwatch User Authentication

  Language:Python3

• hmProgramer/bigdata_commerce

  本项目来源于企业级电商网站的大数据统计分析平台，该平台以 Spark 框架为核心，对电商网站的日志进行离线和实时分析

  Language:Scala153

• karan0805/Hire-Me

  A GUI based Database Management System Project which covers the CRUD & Search Operations for Job Posting & Applying.

  Language:Python7619