#
outlier-detection
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Anomaly detection related books, papers, videos, and toolboxes
data-mining
awesome
awesome-list
outlier-detection
time-series-analysis
anomaly-detection
outlier
outlier-ensembles
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Aug 15, 2021 - Python
List of tools & datasets for anomaly detection on time-series data.
machine-learning
data-mining
time-series
data-analysis
awesome-list
outlier-detection
anomaly-detection
temporal-data
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Updated
Aug 16, 2021
machine-learning
clustering
som
neural-networks
dimensionality-reduction
outlier-detection
unsupervised-learning
manifold-learning
self-organizing-map
vector-quantization
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Aug 14, 2021 - Python
ELKI Data Mining Toolkit
visualization
java
data-science
machine-learning
data-mining
time-series
clustering
indexing
outliers
data-analysis
index
outlier-detection
anomalydetection
data-mining-algorithms
cluster-analysis
distance-functions
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Aug 16, 2021 - Java
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
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Aug 12, 2021 - Python
TODS: An Automated Time-series Outlier Detection System
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Aug 17, 2021 - Python
A Deep Graph-based Toolbox for Fraud Detection
security
machine-learning
opensource
graph-algorithms
toolkit
datascience
outlier-detection
fraud-prevention
datamining
yelp-dataset
fraud-detection
security-tools
financial-engineering
anomaly-detection
dblp-dataset
spamdetection
graphneuralnetwork
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May 27, 2021 - Python
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
python
distributed-systems
machine-learning
data-mining
machine-learning-algorithms
machine-learning-library
outlier-detection
knowledge-distillation
anomaly-detection
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Jan 19, 2021 - Python
A python library for time-series smoothing and outlier detection in a vectorized way.
bootstrap
timeseries
time-series
smoothing
outlier-detection
bootstrapping-statistics
outlier-removal
series-smoothing
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Updated
Aug 5, 2021 - Jupyter Notebook
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
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Feb 3, 2021 - Python
daanraman
commented
Apr 3, 2019
HandySpark - bringing pandas-like capabilities to Spark dataframes
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May 19, 2019 - Jupyter Notebook
An End-to-end Outlier Detection System
machine-learning
database
deep-learning
time-series
outlier-detection
time-series-analysis
anomaly-detection
tdengine
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Updated
May 21, 2021 - Python
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)
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
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Apr 8, 2021 - Scala
Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available
matching
kd-tree
point-cloud
outlier-detection
bayesian-inference
unsupervised-learning
gaussian-processes
variational-inference
bayesian-statistics
shape-analysis
nystrom
approximate-inference
gaussian-process-regression
point-cloud-registration
shape-matching
rigid-registration
non-rigid-registration
downsampling
point-set-registration
shape-deformation
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Jun 14, 2021 - C
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
python
machine-learning
real-time
outliers
intrusion-detection
outlier-detection
anomaly
unsupervised-learning
streaming-data
incremental-learning
fraud-detection
anomaly-detection
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Sep 8, 2020 - Python
GAAL-based Outlier Detection
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Dec 5, 2018 - Python
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
benchmark
leaderboard
dataset
outlier-detection
datasets
anomaly-detection
skoltech
changepoint-detection
skab
collective-anomalies
algorithms-evaluation
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Jul 30, 2021 - Jupyter Notebook
(Python, R, C++) Extended Isolation Forest, SCiForest, and variations, with some additions (outlier detection + similarity + NA imputation)
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Jul 28, 2021 - C++
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
deep-learning
semi-supervised-learning
outlier-detection
weakly-supervised-learning
anomaly-detection
few-shot-learning
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Updated
Aug 5, 2021 - Python
An Unsupervised Graph-based Toolbox for Fraud Detection
data-science
machine-learning
opensource
graph-algorithms
toolbox
outlier-detection
fraud-prevention
spam-detection
fraud-detection
security-tools
anomaly-detection
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Updated
Apr 11, 2021 - Python
Toolbox for anomaly detection.
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Jul 3, 2020 - Jupyter Notebook
OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
deep-learning
pytorch
outlier-detection
evaluation-framework
anomaly-detection
in-distribution
od-test
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Nov 14, 2019 - Python
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
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Oct 13, 2020 - Python
VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.
quality-control
neuroscience
medical-imaging
registration
alignment
neuroimaging
outlier-detection
fmri
mri-images
cortex
qc
outlier-removal
anatomical-mri
freesurfer
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Updated
Aug 20, 2021 - Python
Fairness regulator and rate limiter
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Updated
May 13, 2021 - Erlang
Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
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Aug 20, 2019 - Python
Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
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Aug 31, 2020 - Python
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The official instructions say to use joblib for pickling PyOD models.
This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:
Note that it's not sufficient to save the underlying Keras S