xianggebenben

deeplog

PyTorch implements "DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning"

rca_baselines

Code for "LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis" paper

LightLog

An deep learning based lightweight TCN for log anomaly detection.

AutoTCL

AutoTCL and Parametric Augmentation for Time Series Contrastive Learning(ICLR2024)

Raincoat

Domain Adaptation for Time Series Under Feature and Label Shifts

Awesome-Resource-Efficient-LLM-Papers

a curated list of high-quality papers on resource-efficient LLMs 🌱

mamba360

State Space Models

GraphSL

Graph Source Localization

xianggebenben

Hongyi_Li.github.io

Welcome to Hongyi Li's Homepage.

subgraph_anomaly_detection_icdm22

The official repository for ICDM 22' paper "Unsupervised Deep Subgraph Anomaly Detection"

Curriculum_learning_for_GNNs

This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"

miADMM

ADMM on Multi-convex Problems

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

AdaTime

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

SRDML

GitHub Repository for KDD 2022 paper "Saliency-Regularized Deep Multi-Task Learning"

DRAIN

GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"

Junxiang_Wang.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

github-redirection-demo

A quick demo to show how to redirect GitHub Pages

SLVAE

DeepGAR

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

SRML

GitHub Repository for SDM 2023 paper "Sign-Regularized Multi-Task Learning"

DeepIM

openplayground

An LLM playground you can run on your laptop

nesrom

nes游戏合集

cbADMM

Junxiang_Wang

IVGD

BaiduTraffic

This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).