Anomaly_tuning
Learning hyperparameters for unsupervised anomaly detection
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Graph Fraud Detection Papers | 1,148 | 5 months ago | ||||||||
| A curated list of graph-based fraud, anomaly, and outlier detection papers & resources | ||||||||||
| Awesome Video Anomaly Detection | 330 | 2 years ago | 1 | |||||||
| Papers for Video Anomaly Detection, released codes collection, Performance Comparision. | ||||||||||
| Efficient Gan Anomaly Detection | 317 | 3 years ago | 1 | mit | Python | |||||
| Skip Ganomaly | 144 | 2 years ago | 21 | mit | Python | |||||
| Source code for Skip-GANomaly paper | ||||||||||
| Deep Svdd | 116 | 5 years ago | 3 | mit | Python | |||||
| Repository for the Deep One-Class Classification ICML 2018 paper | ||||||||||
| Interesting Papers | 112 | 6 years ago | 1 | |||||||
| Interesting papers I'd like to implement (or at least have implementations of) | ||||||||||
| Visual Feature Attribution Using Wasserstein Gans Pytorch | 92 | a year ago | 2 | mit | Python | |||||
| Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch | ||||||||||
| Efficientad | 92 | a year ago | apache-2.0 | Python | ||||||
| Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535 | ||||||||||
| Practicalmachinelearning | 79 | 4 months ago | bsd-3-clause | Jupyter Notebook | ||||||
| A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source | ||||||||||
| Awesome Graph Anomaly Detection | 78 | 4 months ago | 2 | |||||||
| A collection of papers for graph anomaly detection, and published algorithms and datasets. | ||||||||||
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Jupyter Notebook
Paper
Anomaly Detection