huangjing-gz Goto Github PK
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huangjing-gz's Projects
computer-graduation-design
大数据时代已经迅猛而至，该系统从高校学生管理工作的实际方面出发，开发了一个面向教务以及教师人员的可视化系统，该系统通过采集学生个人信息数据，通过数据展示模块采集学生数据来构建一个完整的在校生数据库，以该数据库为依托来构建学生行为分析预测模块，通过既定算法计算并根据结果值进行后台分析，在前端分学生学科预警，成绩位置预测，综合素质雷达图和个人发展建议，通过设计和开发基于数据分析的在校学生素质发展监测系统，可以对高校在校学生学习发展情况等进行大致准确的判断，对每一位学生的学习和发展进行个性化分析和推荐，对可能存在的挂科情况和可能的不利发展前景等进行前置预警，这一举措可以大大提升高校对学生管理工作的方便程度和教育品质，真正的对每一位学生实现因材施教而不是统一模板化的流程化管理。
graph-based-recommendation-system
building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.
ibm-data-science-professional-certification
Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.
kg-recommendation-framework
Knowledge Graph-based Recommendation System Framework（movie)
knowledge_graph_based_intent_network
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021
neural_cognitive_diagnosis-neuralcd
Neural Cognitive Diagnosis for Intelligent Education Systems
oasystempublic
基于Java+Springboot的OA办公自动化人事管理系统 本系统分为员工、部门经理、人事、管理员四种角色(角色菜单可以自行分配) ### 用户： 登录、考勤管理、申请管理、任务管理、日程管理、工作计划管理、文件管理、笔记管理、邮件管理、通讯录、个人信息修改。 ### 管理员： - 类型管理、菜单管理、角色管理、用户管理、职位管理、考勤管理、考勤报表管理、流程管理、公告管理、邮件管理、 - 任务管理、日程管理、工作计划管理、文件管理、笔记管理、通讯录、讨论区、个人信息修改。 ## 二、所用技术 后端技术栈： - Springboot - SpringMvc - Jpa - mybatis - mysql 前端技术栈： - Bootstrap - Jquery
obsidian_vault_template_for_graduate_student
A simple academic obsidian vault template for graduate student.
recommend
recommendation system with python
recommendation-system-based-on-knowledge-graph-embedding
Recommendation system based on knowledge graph embedding
recommended-learning-path-app-using-django
Designed and developed a personalized learning path recommendation system, integrating Django for backend functionality and OpenAI's GPT-3.5 for tailored educational journeys. Implemented Django's built-in user authentication, REST API Framework for data management, and secured page access through JWT token control.
recommenders
Best Practices on Recommendation Systems
recsys
项亮的《推荐系统实践》的代码实现
rectools
RecTools - library to build Recommendation Systems easier and faster than ever before
visualization-recommendation-system-based-on-knowledge-graphs
Visualization Recommendation System based on Knowledge Graphs
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