q-nie's starred repositories
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
openai-translator
基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.
pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Easy-Graph
EasyGraph is an open-source network analysis library designed to cover advanced network processing methods. It includes functionalities for detecting structural hole spanners, network embedding, and various classic network analysis techniques.
hypergraphx
HGX is a multi-purpose, open-source Python library for higher-order network analysis
Awesome-Hypergraph-Network
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
text_recognition_toolbox
text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.
COVID19USFlows
Multiscale Dynamic Human Mobility Flow Data in the U.S. during the COVID-19 epidemic
Opinion-Mining-Project
Feature-Based Sentiment Analysis in Python
Twitter-analytics-mining-public-opinion
#Essential Social Informatics techniques #Twitter dataset of Women's March in 2017 #Python codes to collect social media data, and to conduct token/word frequency analysis, geospatial analysis, sentiment analysis, topic modeling and network modeling.
opinion_dynamics
Source code of our KDD 2022 paper: Predicting Opinion Dynamics via Sociologically-Informed Neural Networks
higher-order-motifs
Code for the paper "Higher-order motif analysis in hypergraphs"
Hypergraph-MT
Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of any size in a principled way.
smallworld
Generate and analyze small-world networks according to the revised Watts-Strogatz model where the randomization at β = 1 is truly equal to the Erdős-Rényi network model.
opinion_dynamics
Depolarisation of opinions
MultiplexCentrality
Nodal centrality for multiplex networks