Popular GitHub Repositories for China Telecom

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

优质稳定的OpenAI的API接口-For企业和开发者。OpenAI的api proxy，支持ChatGPT的API调用，支持openai的API接口，支持：gpt-4，gpt-3.5。不需要openai Key, 不需要买openai的账号，不需要美元的银行卡，通通不用的，直接调用就行，稳定好用！！智增增

Let shadows be your bridge to the stars

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boosted tree model.

A Multi-modal RAG Project with Dataset from Honor of Kings, one of the most popular smart phone games in China

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread globally, resulting in an ongoing pandemic. Long Short Term Memories(LSTMs) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDS's (intrusion detection systems). LSTMs can also be efficiently applied for time-series predictions. In this project, its shows a four stacked LSTM network for early predi

This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning" (SCIENCE CHINA Information Sciences).

Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"

I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis

This project is a comprehensive recruitment and interview assistance system developed based on large models and agents, leveraging the langgraph and llamaindex agent frameworks. It aims to enhance job search efficiency and interview performance by automating and intelligentizing the entire interview process. it is China Software Cup A3 competition

Developed BERT, LSTM, TFIDF, and Word2Vec models to analyze social media data, extracting service aspects and sentiments from a custom dataset. Provided actionable insights to telecom operators for customer satisfaction and competitive analysis.

基于 Youtu-Agent 框架构建的Nexus财务智能体，专为A股市场设计。

基于 Youtu-Agent 框架构建的智能财务分析系统，专为A股市场设计。

An open-source educational chat model from ICALK, East China Normal University. 开源中英教育对话大模型。(通用基座模型，GPU部署，数据清理) 致敬: LLaMA, MOSS, BELLE, Ziya, vLLM

A full ML pipeline for customer churn prediction in telecom, banking, or SaaS. Includes robust data cleaning, automatic feature engineering, model training/tuning (Logistic Regression, RF, XGBoost), interpretability, and interactive dashboards for actionable business retention insights.

基于 OpenCV 和 Tesseract 的中国居民身份证光学字符识别（OCR）系统。本系统采用先进的计算机视觉技术和深度学习算法， 能够快速准确地识别身份证上的文字信息。通过多级图像预处理和优化的 OCR 引擎，即使在复杂光照条件下也能保持较高的识别 准确率。系统采用 MVC 设计模式，具有良好的可扩展性和维护性，可轻松集成到各类应用场景中。??

This interactive web application leverages machine learning to predict whether a telecom customer is likely to churn. Users can input customer details for real-time predictions or upload a CSV file for batch analysis.

Telecom Churn Prediction using Machine Learning models

A Python project for Chinese-to-English translations (SRT subtitles) for each episode of CCTV's "Xinwen Lianbo" (「新闻联播」), a valuable resource for language learners and researchers.

Research internship 2023 at Telecom Paris