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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
1,749 commits to master branch, last one 6 days ago
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Created
2017-10-03
1,887 commits to master branch, last one 13 days ago
Anomaly detection related books, papers, videos, and toolboxes
Created
2018-05-16
295 commits to master branch, last one 14 days ago
List of tools & datasets for anomaly detection on time-series data.
Created
2017-12-19
60 commits to master branch, last one 2 months ago
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...
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
1,342 commits to main branch, last one 8 hours ago
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
148 commits to master branch, last one about a month ago
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Created
2013-07-03
613 commits to master branch, last one 26 days ago
A Python Library for Graph Outlier Detection (Anomaly Detection)
Created
2021-11-18
505 commits to main branch, last one about a month ago
Benchmarking Generalized Out-of-Distribution Detection
Created
2021-11-29
723 commits to main branch, last one 19 days ago
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
anomaly
awesome
open-set
open-world
robustness
awesome-lists
ood-detection
ood-robustness
anomaly-detection
novelty-detection
outlier-detection
ood-generalization
distribution-shifts
open-world-learning
out-of-distribution
open-set-recognition
out-of-distribution-detection
out-of-distribution-robustness
out-of-distribution-generalization
Created
2023-08-07
77 commits to main branch, last one about a month ago
ELKI Data Mining Toolkit
Created
2015-03-04
10,473 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 11 months 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 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 about a year ago
Curated list of open source tooling for data-centric AI on unstructured data.
nlp
data-drift
awesome-list
noisy-labels
data-curation
deep-learning
bias-detection
explainable-ai
feature-vector
synthetic-data
active-learning
computer-vision
data-centric-ai
data-versioning
machine-learning
outlier-detection
data-visualization
documentation-only
uncertainty-estimation
robust-machine-learning
Created
2023-02-27
34 commits to main branch, last one about a year 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
Deep learning-based outlier/anomaly detection
Created
2022-10-28
330 commits to main branch, last one 3 months ago
The Official Repository for "Generalized OOD Detection: A Survey"
Created
2021-08-18
36 commits to main branch, last one 2 years 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 11 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
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
Created
2020-07-19
165 commits to master branch, last one 4 months 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
203 commits to main branch, last one about a month ago
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
Created
2019-03-31
63 commits to master branch, last one 6 months 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 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
77 commits to master branch, last one 18 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
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