An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
An Awesome List of the latest time series papers and code from top AI venues.
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
A toolkit for time series machine learning and deep learning
Timely detections for more proactive and effective actions in offshore oil wells!
A Flipper Zero that stops guessing and starts reasoning: ML-guided RFID/NFC fuzzing & access-control auditing that turns raw card reads into a prioritized, explainable security assessment. Defensive-use only.
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.
STUMPY is a powerful and scalable Python library for modern time series analysis
The collection of pre-trained, state-of-the-art AI models for ailia SDK
A high-level machine learning and deep learning library for the PHP language.
Unsupervised time series anomaly detection library
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
OpenChatBI is an intelligent chat-based BI tool powered by large language models, designed to help users query, analyze, and visualize data through natural language conversations. It uses LangGraph and LangChain to build chat agent and workflows that support natural language to SQL conversion and data analysis.
Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.
Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [BETA]
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
PeakPulse AI — Real-Time Financial Market Anomaly Detection & Time-Series Machine Learning Engine
Evidence-first game operations incident investigation agent with read-only MCP tools and reproducible evaluations.
A grumpy Gibson construct living in an office router. It only knows what the router can see.
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。