Linking pages
Linked pages
- GitHub - facebook/prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. https://github.com/facebook/prophet 89 comments
- GitHub - numenta/nupic: Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex. https://github.com/numenta/nupic 48 comments
- GitHub - unit8co/darts: A python library for user-friendly forecasting and anomaly detection on time series. https://github.com/unit8co/darts 44 comments
- GitHub - sktime/sktime: A unified framework for machine learning with time series https://github.com/alan-turing-institute/sktime 26 comments
- GitHub - Stream-AD/MIDAS: Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. https://github.com/bhatiasiddharth/MIDAS 25 comments
- GitHub - zillow/luminaire: Luminaire is a python package that provides ML driven solutions for monitoring time series data. https://github.com/zillow/luminaire 17 comments
- GitHub - MentatInnovations/datastream.io: An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana https://github.com/MentatInnovations/datastream.io 14 comments
- GitHub - arundo/adtk: A Python toolkit for rule-based/unsupervised anomaly detection in time series https://github.com/arundo/adtk 6 comments
- GitHub - cuebook/CueObserve: Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases https://github.com/cuebook/CueObserve 1 comment
- GitHub - facebookresearch/Kats: Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends. https://github.com/facebookresearch/kats 1 comment
- GitHub - yzhao062/pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection) https://github.com/yzhao062/pyod 0 comments
- GitHub - salesforce/Merlion: Merlion: A Machine Learning Framework for Time Series Intelligence https://github.com/salesforce/Merlion 0 comments
- GitHub - twitter/AnomalyDetection: Anomaly Detection with R https://github.com/twitter/AnomalyDetection 0 comments
- GitHub - numenta/NAB: The Numenta Anomaly Benchmark https://github.com/numenta/NAB 0 comments
- GitHub - RJT1990/pyflux: Open source time series library for Python https://github.com/RJT1990/pyflux 0 comments
- GitHub - awslabs/gluonts: Probabilistic time series modeling in Python https://github.com/awslabs/gluon-ts 0 comments
- GitHub - AIStream-Peelout/flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). https://github.com/AIStream-Peelout/flow-forecast 0 comments
- GitHub - microsoft/TagAnomaly: Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category) https://github.com/microsoft/taganomaly 0 comments
- GitHub - tslearn-team/tslearn: A machine learning toolkit dedicated to time-series data https://github.com/tslearn-team/tslearn 0 comments
- GitHub - matrix-profile-foundation/matrixprofile: A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone. https://github.com/matrix-profile-foundation/matrixprofile 0 comments
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