Pinned Repositories
AICodingAssistant
本项目是一个基于GPT-3的编码助手，目前支持根据编码框架对MOOC论坛中话题下的回帖数据进行编码。 当前项目还在开发中，以后会提供更多的功能，敬请期待。
AICodingAssistant-Pro
AICO: An artificial intelligence text-coding officer with integrated classifiers.
bnu-cmooc
cmooc platform use vue and element ui
bnu-consumption-pattern
Plug-in for mining consumption patterns for students at Beijing Normal University
GraphRAG-Local-UI
GraphRAG using Local LLMs - Features robust API and multiple apps for Indexing/Prompt Tuning/Query/Chat/Visualizing/Etc. This is meant to be the ultimate GraphRAG/KG local LLM app.
jianjunxiao.github.io
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
RSSCopilot
RSSCopilot can generation summary or daily report based on your RSS feeds.
tandf-review-badges
A userscript that displays reviewer invite badges next to "Out for Review" status in Taylor & Francis Dashboard submission cards.
trans-big-data-analysis
交通大数据挖掘分析与可视化部分代码与数据
zotracer
Tracks your research activities, creates detailed timelines, and exports notes to platforms like Flomo.
etShaw-zh's Repositories
etShaw-zh/weiboSpider
新浪微博爬虫，用python爬取新浪微博数据
etShaw-zh/AttentionPathExplainer
A tool to help understand how GNN/BERT works by attention
etShaw-zh/bilibili-helper-chrome-extension
Provide Bilibili Tools for Chrome platform.
etShaw-zh/dna
Discourse Network Analyzer (DNA)
etShaw-zh/dtm
This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
etShaw-zh/extension-vue-template
vue-cli3 + element-ui 编译打包Chrome浏览器插件
etShaw-zh/Latent-Semantic-Indexing
Vanilla implementation of a basic search engine that uses LSI to index documents and retrieve results to search queries. The repository also includes the document set used for experimentation, the benchmark queries and the results obtained on them.
etShaw-zh/python3-nlp
Gensim LDA & LSI Topic Modeling
etShaw-zh/quantifying-ranking-bias
Quantifying rankings bias
etShaw-zh/Relevance-Ranking-using-Latent-Semantic-Indexing--from-scratch-
Latent Semantic Analysis Introduction: An information retrieval technique patented in 1988. In the context of its application to information retrieval, it is sometimes called Latent Semantic Indexing (LSI). LSI allows a search engine to determine what a page is about outside of specifically matching search query text. It looks at “Themes” instead of “Keywords”. Linear Algebra techniques used in the project: Singular Value Decomposition, Cosine Similarity, Matrix properties. Dataset: “Sci.space” news group from 20 news groups dataset, available in the Scikit-Learn library. It contains 400 news articles related to space. SVD (Singular Value Decomposition): SVD is a matrix decomposition algorithm, it decomposes a matrix into 3 matrices which are a set to transformations. Decomposition leads to an orthogonal matrix U, Diagonal matrix S and a Diagonal Matrix V. This is the best possible transformation of a matrix. In this decomposition method we are looking for a set of orthonormal basis in the row space that when multiplied by the original matrix goes to an orthonormal basis in the column space.Av1 = σ1u1 Av2 = σ2u2
etShaw-zh/SNABook
Code for "Social Networks for Startups"