GxiFan

ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

alpaca-chinese-dataset

Alpaca Chinese Dataset -- 中文指令微调数据集【人工+GPT4o持续更新】

sequential_social_dilemma_ppo_pytorch

FinGLM

FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目，利用开源开放来促进「AI+金融」。

autogen

A programming framework for agentic AI 🤖

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

LLM-Tuning

Tuning LLMs with no tears💦; Sample Design Engineering (SDE) for more efficient downstream-tuning.

Firefly

Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

ccf-deadlines

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

CyGNet

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

TA_TransE

Temporal Knowledge Graph Completion | Implementation of Temporal Knowledge Graph Completion following the work of Duran et al., Learning Sequence Encoders for Temporal Knowledge Graph Completion

de-simple

Diachronic Embedding for Temporal Knowledge Graph Completion

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

RDyn

RDyn: graph benchmark handling community dynamics

Dyperm-Code

Code for Dyperm Paper: "DyPerm:MaximizingPermanencefor Dynamic Community Detection." 22nd Pacific- Asia Conference on Knowledge Discovery and Data Mining. Springer, Cham, 2018.

tensorflow-handbook

简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

exercise

exercise for nndl

CogDL

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

nlp-beginner

NLP上手教程

nlp-beginner-finish

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。

awesome-community-detection

A curated list of community detection research papers with implementations.

PisCES

Global spectral clustering in dynamic networks

master-thesis-DCDT

In recent years, community detection has received increased attention thanks to its wide range of applications in many fields. While at first most techniques were focused on discovering communities in static networks, lately the research community’s focus has shifted toward methods that can detect meaningful substructures in evolving networks because of their high relevance in real-life problems. This thesis explores the current availability of empirical comparative studies of dynamic methods and also provides its own qualitative and quantitative comparison with the aim of gaining more insight in the performance of available algorithms that are expected to perform well in the context of social community detection. The qualitative comparison includes 13 algorithms, namely D-GT, Extended BGL, TILES, AFOCS, HOCTracker, OLCPM, DOCET, LabelRankT, FacetNet, DYNMOGA, DEMON and iLCD. The empirical analysis compares TILES, HOCTracker, OLCPM, DEMON and iLCD on synthetic RDyn graphs and the real graph, DBLP. In addition to the results of the empirical and qualitative results of the analysis, the thesis’s value lies in its wide coverage of the dynamic community detection problem.

Temporal-Community-Detection

Using temporal information in a time stamped dynamic network to derive information about static communities with varying activation profiles.

dynamo

DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity

Artificial-Bee-Colony-Optimization-for-dynamic-community-detection

ESPRA

Dynamic community detection based on network structural perturbation and topological similarity

NLPython

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

facetnet-python

An unofficial implementation in python3.6 for the paper: Facetnet: a framework for analyzing communities and their evolutions in dynamic networks