Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
ChainKnowledgeGraph
ChainKnowledgeGraph, 产业链知识图谱包括A股上市公司、行业和产品共3类实体，包括上市公司所属行业关系、行业上级关系、产品上游原材料关系、产品下游产品关系、公司主营产品、产品小类共6大类。 上市公司4,654家，行业511个，产品95,559条、上游材料56,824条，上级行业480条，下游产品390条，产品小类52,937条，所属行业3,946条。
chatbot
docker-registry
fastapi-docker-tutorial
A tutorial of using the Docker encapsulation model API, Based on the FastAPI framework.
File-System
软件设计与开发实践Ⅱ(2015秋)
langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识库的 ChatGLM 问答
python-algorithms
All Algorithms implemented in Python
selfkit
A small configuration toolkit, containing some tool software configuration information
liuzmx's Repositories
liuzmx/chatbot
liuzmx/python-algorithms
All Algorithms implemented in Python
liuzmx/selfkit
A small configuration toolkit, containing some tool software configuration information
liuzmx/WikipediaCategorization
In this project we want to implement a solution that is capable of grouping Wikipedia articles based on the articles content or other features. We want to find feasible metrics to cluster articles into differentcategories. In the beginning we want to find very general categories e.g. science, politics, sports,movies, etc. and if possible, we want specify the categories into more detail, e.g. football player, actionmovie, midterm election, etc.. For this approach we want to use clustering.Possible extension: After we created a cluster we want to find a way to propose tags of related clustersfor a new article which is not in the cluster itself
liuzmx/100-Days-Of-ML-Code
100 Days of ML Coding
liuzmx/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
liuzmx/ChainKnowledgeGraph
ChainKnowledgeGraph, 产业链知识图谱包括A股上市公司、行业和产品共3类实体，包括上市公司所属行业关系、行业上级关系、产品上游原材料关系、产品下游产品关系、公司主营产品、产品小类共6大类。 上市公司4,654家，行业511个，产品95,559条、上游材料56,824条，上级行业480条，下游产品390条，产品小类52,937条，所属行业3,946条。
liuzmx/docker-registry
liuzmx/fastapi-docker-tutorial
A tutorial of using the Docker encapsulation model API, Based on the FastAPI framework.
liuzmx/File-System
软件设计与开发实践Ⅱ(2015秋)
liuzmx/langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识库的 ChatGLM 问答
liuzmx/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
liuzmx/oslab
HIT-CS 操作系统（2015秋）实验
liuzmx/playingchess
liuzmx/plm-nlp-code
liuzmx/software15
project of software engineering
liuzmx/umi-demo