TranAD
anomaly-detection-resources
Our great sponsors
| TranAD | anomaly-detection-resources | |
|---|---|---|
| 1 | 98 | |
| 462 | 7,871 | |
| 7.6% | - | |
| 2.9 | 4.6 | |
| 6 months ago | 4 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TranAD
anomaly-detection-resources
- anomaly-detection-resources: NEW Extended Research - star count:7507.0
- anomaly-detection-resources: NEW Extended Research - star count:7323.0
- anomaly-detection-resources: NEW Extended Research - star count:7109.0
-
Time-based splitting performing significantly worse than random splitting
https://github.com/yzhao062/anomaly-detection-resources https://search.brave.com/search?q=imbalanced+dataset+machine+learning+github&source=desktop
What are some alternatives?
Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
loglizer - A machine learning toolkit for log-based anomaly detection [ISSRE'16]
pycaret - An open-source, low-code machine learning library in Python
AugMax - [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
DGFraud - A Deep Graph-based Toolbox for Fraud Detection
UGFraud - An Unsupervised Graph-based Toolbox for Fraud Detection