yzhao062 / pyod

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

machine-learning probability outliers outlier-detection nearest-neighbors anomaly-detection outlier-scores anomalies

Updated Sep 17, 2020
Python

datamllab / tods

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TODS: An Automated Time-series Outlier Detection System

outlier-detection automl

Updated Sep 29, 2020
Python

yzhao062 / SUOD

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An Acceleration System for Large-scale Outlier Detection (Anomaly Detection)

python distributed-systems machine-learning data-mining machine-learning-algorithms machine-learning-library outlier-detection knowledge-distillation anomaly-detection

Updated Jun 15, 2020
Python

NVISO-BE / ee-outliers

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Open

Implement Local Outlier Factor as trigger_method

daanraman commented Apr 3, 2019

https://en.wikipedia.org/wiki/Local_outlier_factor

Create entropy metric which takes into account the length of the string

1

Open

allow support for min_value to match terms model

dvgodoy / handyspark

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HandySpark - bringing pandas-like capabilities to Spark dataframes

visualization python spark exploratory-data-analysis pandas pyspark imputation outlier-detection

Updated May 19, 2019
Jupyter Notebook

ExpediaDotCom / adaptive-alerting

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Open

DetectorRepositoryImpl.findByUuid() assumes at least one result

1

williewheeler commented Oct 29, 2019

In the following code

    @Override
    public DetectorDocument findByUuid(String uuid) {
        val queryBuilder = QueryBuilders.termQuery("uuid", uuid);
        val searchSourceBuilder = elasticsearchUtil.getSourceBuilder(queryBuilder).size(DEFAULT_ES_RESULTS_SIZE);
        val searchRequest = elasticsearchUtil.getSearchRequest(searchSourceBuilder, DETECTOR_INDEX, DETECTOR_DOC_TYPE)

Create an average forecaster

3

Open

CodeCov complexity coverage appears not to be working

Find more good first issues →

zillow / luminaire

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Luminaire is a python package that provides ML driven solutions for monitoring time series data.

time-series forecasting outlier-detection automl anomaly-detection

Updated Sep 30, 2020
Python

datamllab / pyodds

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An End-to-end Outlier Detection System

machine-learning database deep-learning time-series outlier-detection time-series-analysis anomaly-detection tdengine

Updated Jul 4, 2020
Python

linkedin / isolation-forest

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A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

machine-learning scala spark paper linkedin hdfs outlier-detection unsupervised-learning dataframe anomaly-detection liu isolation-forest auroc

Updated May 28, 2020
Scala

ohirose / bcpd

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Bayesian coherent point drift for Windows 10

matching kd-tree point-cloud outlier-detection bayesian-inference unsupervised-learning variational-inference bayesian-statistics shape-analysis nystrom approximate-inference point-cloud-registration shape-matching coherent-point-drift rigid-registration non-rigid-registration point-set-registration shape-deformation

Updated Mar 22, 2020

leibinghe / GAAL-based-outlier-detection

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GAAL-based Outlier Detection

generative-adversarial-network outlier-detection

Updated Dec 5, 2018
Python

g-andrade / aequitas

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Fairness regulator and rate limiter

rate-limiting outlier-detection fairness

Updated May 26, 2020
Erlang

anrputina / ods

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Custom implementation of the DenStream algorithm in Python. The purpose is to detect anomalies applying the algorithm on Telemetry data coming from the devices.

python machine-learning clustering telemetry outlier-detection unsupervised-learning telemetry-data anomaly-detection realtime-clustering