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Common exception classes for browser and NodeJS
Real-time anomalies(outliers) detection system for periodic time series
Machine learning package for node-red.
- node-red
- machine learning
- ml
- tensorflow
- scikit learn
- scikit
- sklearn
- classification
- regression
- clustering
- outlier
- novelty
- anomaly
- detection
Moving Grubbs' test for outliers.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- grubbs
- esd
- extreme
- studentized
- deviate
- maximum
- normalized
- residual
- View more
Machine learning package for node-red.
- node-red
- machine learning
- ml
- tensorflow
- scikit learn
- scikit
- sklearn
- classification
- regression
- clustering
- outlier
- novelty
- anomaly
- detection
Grubbs' test for outliers.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- grubbs
- esd
- extreme
- studentized
- deviate
- maximum
- normalized
- residual
- View more
Data anomaly detector for NodeJS
Anomaly Packer is a tool that helps in making of an addon for STALKER Anomaly with type-safe code using TypeScript
NodeJs client for tracking events with ThisData
A StatsD backend that send metrics to Anodot
Simple Machine Learning Example
- node-red
- machine learning
- ml
- tensorflow
- scikit learn
- scikit
- sklearn
- classification
- regression
- clustering
- outlier
- novelty
- anomaly
- detection
Relatively simple library bringing multiple outlier/anomaly detection algorithms together in one place.
Exports visual representation of trees in Isolation Forest into different formats using Graphviz. Evaluates the anomaly scores and average path lengths for input data.
Apache Kafka topic and message anomaly detection with automated discovery
NodeRED Extension Pack for SparkML
- node-red
- machine learning
- ml
- sparkml
- classification
- regression
- clustering
- outlier
- bigdata
- spark
- anomaly
- detection
express middleware detecting burst access
Training data library for the Advanced Anomaly Handler model
This npm package provides a powerful tool for anomaly detection in images. Leveraging state-of-the-art deep learning models, it accurately identifies various anomalies, including human falls, violence, wall theft, fire, smoke, and weapons. The package off