LogTAD: Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation (CIKM 2021)

LogLLM: Log-based Anomaly Detection Using Large Language Models (system log anomaly detection)

基于vue2.0生态的后台管理系统模板（spa）。 a vue management system template based on ：vue2.0 + vue-router + vuex + element-ui +ES6+ webpack + npm。

采用Vue3 + Element Plus 搭建的后台管理系统解决方案，基于vue-manage-system开源系统升级改造而成，企业级定制，注释清晰，快速上手，开箱即用。

An advanced cross-platform tool that automates the process of detecting and exploiting SQL injection security flaws

东南大学硕士毕业论文Latex模板

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

[AAAI 2024] LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

This is a demo implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks.

The implementation of SwissLog in ISSRE'20 and TDSC'22

Implementation of log analyzer methods

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

分布式实时日志分析与入侵检测系统

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

log anomaly detection via BERT

Parse server logs by Drain algorithm. Integrate Transformer into anomaly detection network. Demonstrate better performance on public dataset.

Anomaly detection from OS logs using Transformers implemented with Pytorch.

Log-based anomaly detection

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

PyTorch implementation of Deeplog: Anomaly detection and diagnosis from system logs through deep learning

Pytorch Implementation of DeepLog.

log anomaly detection toolkit including DeepLog