| Name | Version | Summary | date |
| CytologyAnomalyDetectorPython |
0.0.1 |
Deep Learning model for anomaly detection of citology images |
2024-06-04 08:05:00 |
| faster-eTaPR |
0.1.2 |
None |
2024-04-08 18:17:07 |
| flexanomalies |
0.0.2 |
|
2024-03-13 15:13:04 |
| outliertree |
1.9.0.post1 |
Explainable outlier detection through smart decision tree conditioning |
2024-02-24 08:56:38 |
| anomalytics |
0.2.2 |
The ultimate anomaly detection library. |
2023-12-21 10:34:33 |
| PriceAnomalyTracker |
1.1.3 |
PriceAnomalyTracker is a Python library for detecting anomalies in time series data. Using unsupervised learning methods, it applies clustering techniques (such as K-Means and DBSCAN) and normality tests (such as the Shapiro Test) to identify anomalies in a wide range of data. |
2023-11-06 02:21:28 |
| anoseg |
0.0.4 |
Anomaly Segmentation |
2023-09-19 12:01:49 |
| ood-metrics |
1.1.2 |
Calculate common OOD detection metrics |
2023-09-08 19:41:57 |
| CitologyAnomalyDetector |
0.0.5 |
Deep Learning model for anomaly detection of citology images |
2023-03-30 09:24:43 |
| matrixprofile |
1.1.10 |
An open source time series data mining library based on Matrix Profile algorithms. |
2021-01-16 12:57:34 |
| PyNomaly |
0.3.3 |
A Python 3 implementation of LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1]. |
2020-05-30 15:58:20 |