59 results found Sort:

752
9.8k
agpl-3.0
90
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Created 2018-05-11
1,743 commits to master branch, last one about a month ago
1.4k
8.6k
bsd-2-clause
146
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Created 2017-10-03
1,870 commits to master branch, last one 21 days ago
Anomaly detection related books, papers, videos, and toolboxes
Created 2018-05-16
292 commits to master branch, last one 5 months ago
List of tools & datasets for anomaly detection on time-series data.
Created 2017-12-19
60 commits to master branch, last one about a month ago
77
1.6k
other
24
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data...
Created 2022-05-11
1,322 commits to main branch, last one 3 months ago
193
1.5k
apache-2.0
29
TODS: An Automated Time-series Outlier Detection System
Created 2020-09-08
437 commits to master branch, last one about a year ago
426
1.5k
mit
31
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Created 2013-07-03
612 commits to master branch, last one about a month ago
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Created 2019-11-21
148 commits to master branch, last one 6 days ago
129
1.3k
bsd-2-clause
16
A Python Library for Graph Outlier Detection (Anomaly Detection)
Created 2021-11-18
505 commits to main branch, last one 19 days ago
136
885
bsd-2-clause
17
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Created 2022-06-05
117 commits to main branch, last one about a year ago
Benchmarking Generalized Out-of-Distribution Detection
Created 2021-11-29
721 commits to main branch, last one 2 months ago
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
Created 2023-08-07
77 commits to main branch, last one 12 days ago
59
764
apache-2.0
23
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 10 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 about a year ago
ML powered analytics engine for outlier detection and root cause analysis.
This repository has been archived (exclude archived)
Created 2021-05-27
3,308 commits to main branch, last one 2 months ago
39
448
unknown
14
The Official Repository for "Generalized OOD Detection: A Survey"
Created 2021-08-18
36 commits to main branch, last one 2 years ago
50
445
bsd-2-clause
10
Deep learning-based outlier/anomaly detection
Created 2022-10-28
330 commits to main branch, last one 2 months ago
49
381
bsd-2-clause
17
(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 9 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 about a year ago
56
330
gpl-3.0
9
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
Created 2020-07-19
165 commits to master branch, last one 3 months ago
37
319
other
24
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
203 commits to main branch, last one 4 days ago
39
252
mit
14
An End-to-end Outlier Detection System
Created 2019-10-07
115 commits to master branch, last one 4 years ago
22
242
bsd-3-clause
6
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Created 2020-06-05
217 commits to master branch, last one about a year ago
A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference...
Created 2019-07-26
75 commits to master branch, last one 13 days ago
Anomaly detection for streaming time series, featuring automated model selection.
Created 2018-04-11
1,732 commits to master branch, last one 4 years 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 2 years ago