Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

This is the complementary code repository for the BINet papers.

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics W…

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

Survey and Benchmark of Anomaly Detection in Business Processes

A Python Library for Graph Outlier Detection (Anomaly Detection)

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

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

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

The devkit of the nuScenes dataset.

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

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