PyDigger - unearthing stuff about Python


NameVersionSummarydate
tfgen 0.2.2 Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams. 2022-06-30 12:28:54
pythresh 0.2.2 A Python Toolbox for Outlier Detection Thresholding 2022-06-25 19:45:41
pygod 0.3.0 A Python Library for Graph Outlier Detection (Anomaly Detection) 2022-06-25 08:05:01
pyod 1.0.2 A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection) 2022-06-23 15:03:50
conmo 1.0.1 Conmo is a framework developed in Python whose main objective is to facilitate the execution and comparison of different anomaly detection and experiments. 2022-06-23 10:03:56
salesforce-merlion 1.2.2 Merlion: A Machine Learning Framework for Time Series Intelligence 2022-06-21 19:13:49
graphomaly 0.2.1 software package for anomaly detection in graphs modeling financial transactions 2022-05-30 10:25:06
yano 0.91 Python module providing anomaly detection datasets and tools for evaluating algorithms 2022-05-22 12:47:41
patternly 0.0.33 A tool for detecting anomalies in time series data 2022-05-18 20:55:17
kats 0.2.0 kats: kit to analyze time series 2022-03-15 16:02:45
vae-anomaly-detection 1.1.0 Pytorch/TF1 implementation of Variational AutoEncoder for anomaly detection following the paper "Variational Autoencoder based Anomaly Detection using Reconstruction Probability by Jinwon An, Sungzoon Cho" 2022-03-13 01:42:08
TIREX 0.0.2 Dimensionality Reduction in extreme regions 2022-02-21 11:19:07
cidre 0.0.1 Algorithm for finding anomalous groups in networks 2021-07-08 15:05:03
ai4ao 0.1.7 2021-06-23 21:22:31
anlearn 0.1.4 Anomaly learn - the anomaly detection package 2021-05-10 22:11:53
RecForest 0.1.0 Implementation of Reconstruction-based Anomaly Detection with Completely Random Forest 2021-01-29 04:29:16
suod 0.0.6 A Scalable Framework for Unsupervised Outlier Detection (Anomaly Detection) 2021-01-15 02:12:04
UGFraud 0.1.1.3 An Unsupervised Graph-based Toolbox for Fraud Detection 2020-12-16 04:31:51
metaod 0.0.6 Automating Outlier Detection via Meta-Learning (selece/recommend OD model(s) for new datasets) 2020-09-28 00:42:38
coupled-biased-random-walks 2.1.0 Outlier detection for categorical data 2020-09-05 20:35:20
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