| yzhao062/pyod |
7,751 |
|
3 |
60 |
over 2 years ago |
90 |
November 18, 2023 |
189 |
bsd-2-clause |
Python |
| A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection) |
| RubensZimbres/Repo-2017 |
1,146 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
Python |
| Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano |
| shubhomoydas/ad_examples |
738 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
mit |
Python |
| A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network. |
| aapatel09/handson-unsupervised-learning |
604 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
|
Jupyter Notebook |
| Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media) |
| donggong1/memae-anomaly-detection |
312 |
|
0 |
0 |
almost 4 years ago |
0 |
|
22 |
mit |
Python |
| MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019. |
| curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras |
289 |
|
0 |
0 |
almost 7 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data |
| KDD-OpenSource/DeepADoTS |
270 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
mit |
Python |
| Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series". |
| lukasruff/Deep-SAD-PyTorch |
268 |
|
0 |
0 |
over 3 years ago |
0 |
|
16 |
mit |
Python |
| A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method. |
| koba-jon/pytorch_cpp |
215 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
mit |
C++ |
| Deep Learning sample programs using PyTorch in C++ |
| curiousily/Deep-Learning-For-Hackers |
196 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT) |
