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annotated-transformer

An annotated implementation of the Transformer paper.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-deep-graph-anomaly-detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors

blog

buaathesis

北航研究生学位论文模板（Word+LaTeX）.

gnnpapers

Must-read papers on graph neural networks (GNN)

graphlogad

Codebase for the ICKG 2023 paper: "GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection".

langchain

⚡ Building applications with LLMs through composability ⚡

langchain-chatchat

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

lizagents

🌈LizAgents is a collection of intelligent agents, including 🦄Vision Agent, 🐷Memory Agent, 🐮CSV Agent, 🐳PDF Agent, 🐯Search Agent and 🐸Chat Agent. Powered by OpenAI, LangChain, Streamlit, Selenium and GPT-4V-Act.

llms-from-scratch-cn

logadempirical

Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)

loggd

loghub

A large collection of system log datasets for log analysis research

markdown-tools

openclash

A Clash Client For OpenWrt

plelog

Implementation of PLELog in ICSE 2021 accepted paper:Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation.

plelog_improved

this is PLELog papar which is improved in some part

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

read-books

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.