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The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Created
2018-05-11
1,638 commits to master branch, last one 21 hours ago
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Created
2017-10-03
1,749 commits to master branch, last one 12 days ago
Anomaly detection related books, papers, videos, and toolboxes
Created
2018-05-16
284 commits to master branch, last one about a month ago
List of tools & datasets for anomaly detection on time-series data.
Created
2017-12-19
58 commits to master branch, last one about a year ago
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data oper...
image
python
dataset
data-curation
deep-learning
visual-search
visualization
image-analysis
image-processing
image-similarity
machine-learning
object-detection
data-augmentation
novelty-detection
outlier-detection
image-classfication
visualization-tools
image-classification
image-duplicate-detection
Created
2022-05-11
1,223 commits to main branch, last one 4 months ago
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Created
2013-07-03
592 commits to master branch, last one 14 days ago
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Created
2019-11-21
135 commits to master branch, last one 15 days ago
TODS: An Automated Time-series Outlier Detection System
Created
2020-09-08
437 commits to master branch, last one 9 months ago
A Python Library for Graph Outlier Detection (Anomaly Detection)
Created
2021-11-18
479 commits to main branch, last one 11 days ago
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Created
2022-06-05
117 commits to main branch, last one 10 months ago
Benchmarking Generalized Out-of-Distribution Detection
Created
2021-11-29
694 commits to main branch, last one 6 days ago
ELKI Data Mining Toolkit
Created
2015-03-04
10,458 commits to master branch, last one about a month ago
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Created
2020-07-08
258 commits to master branch, last one 4 months ago
ML powered analytics engine for outlier detection and root cause analysis.
Created
2021-05-27
3,306 commits to main branch, last one 3 months ago
A python library for time-series smoothing and outlier detection in a vectorized way.
Created
2020-08-23
43 commits to master branch, last one 6 months ago
Curated list of open source tooling for data-centric AI on unstructured data.
Created
2023-02-27
34 commits to main branch, last one 7 months ago
A Deep Graph-based Toolbox for Fraud Detection
graph
toolkit
security
datamining
opensource
datascience
dblp-dataset
yelp-dataset
spamdetection
security-tools
fraud-detection
fraud-prevention
graph-algorithms
machine-learning
anomaly-detection
outlier-detection
graphneuralnetwork
financial-engineering
graph-neural-networks
graph-convolutional-networks
Created
2019-11-22
239 commits to master branch, last one 2 years ago
The Official Repository for "Generalized OOD Detection: A Survey"
Created
2021-08-18
36 commits to main branch, last one about a year ago
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
Created
2019-11-20
168 commits to master branch, last one 4 months ago
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
Created
2020-10-15
45 commits to main branch, last one 9 months ago
Deep learning-based outlier/anomaly detection
Created
2022-10-28
328 commits to main branch, last one 3 days ago
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Created
2017-05-19
156 commits to main branch, last one 8 months ago
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
Created
2020-07-19
157 commits to master branch, last one 8 months ago
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
Created
2019-03-31
62 commits to master branch, last one about a year ago
An End-to-end Outlier Detection System
Created
2019-10-07
115 commits to master branch, last one 4 years ago
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Created
2020-06-05
217 commits to master branch, last one 8 months ago
A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
Created
2019-07-26
60 commits to master branch, last one 13 days ago
Open-source framework to detect outliers in Elasticsearch events
This repository has been archived
(exclude archived)
Created
2018-12-11
1,690 commits to master branch, last one about a year ago
Anomaly detection for streaming time series, featuring automated model selection.
Created
2018-04-11
1,732 commits to master branch, last one 3 years ago
(WWW'21) ATON - an Outlier Interpreation / Outlier explanation method
Created
2021-02-03
12 commits to main branch, last one about a year ago