63 results found Sort:

824
10.5k
agpl-3.0
87
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Created 2018-05-11
1,772 commits to master branch, last one 13 days ago
1.4k
9.1k
bsd-2-clause
149
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Created 2017-10-03
1,889 commits to master branch, last one about a month ago
Anomaly detection related books, papers, videos, and toolboxes
Created 2018-05-16
295 commits to master branch, last one 4 months ago
List of tools & datasets for anomaly detection on time-series data.
Created 2017-12-19
60 commits to master branch, last one 6 months ago
81
1.7k
other
22
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
1,346 commits to main branch, last one 3 months ago
200
1.6k
apache-2.0
28
TODS: An Automated Time-series Outlier Detection System
Created 2020-09-08
437 commits to master branch, last one about a year ago
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Created 2019-11-21
154 commits to master branch, last one 3 days ago
437
1.5k
mit
30
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Created 2013-07-03
623 commits to master branch, last one 16 days ago
135
1.4k
bsd-2-clause
16
A Python Library for Graph Outlier Detection (Anomaly Detection)
Created 2021-11-18
505 commits to main branch, last one 5 months ago
Benchmarking Generalized Out-of-Distribution Detection
Created 2021-11-29
737 commits to main branch, last one about a month ago
141
932
bsd-2-clause
16
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Created 2022-06-05
117 commits to main branch, last one about a year 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
80 commits to main branch, last one 5 days ago
60
775
apache-2.0
21
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 about a year 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 7 months ago
56
498
bsd-2-clause
9
Deep learning-based outlier/anomaly detection
Created 2022-10-28
330 commits to main branch, last one 7 months ago
40
455
unknown
15
The Official Repository for "Generalized OOD Detection: A Survey"
Created 2021-08-18
36 commits to main branch, last one 2 years 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
49
385
bsd-2-clause
16
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
Created 2019-11-20
170 commits to master branch, last one about a month ago
56
358
gpl-3.0
10
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
Created 2020-07-19
165 commits to master branch, last one 8 months ago
37
322
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 months ago
25
256
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
39
253
mit
13
An End-to-end Outlier Detection System
Created 2019-10-07
115 commits to master branch, last one 4 years 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
83 commits to master branch, last one 29 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 2 years ago
40
209
bsd-2-clause
9
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
Created 2019-10-23
569 commits to master branch, last one 21 days ago