glederrey / DATGAN
Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation
☆14Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for DATGAN
- ☆62Updated last year
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆76Updated 4 years ago
- ☆18Updated 2 months ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆42Updated last year
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆35Updated 2 years ago
- ☆40Updated last year
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆109Updated 3 years ago
- Adversarial Attacks on Deep Neural Networks for Time Series Classification☆72Updated 4 years ago
- offical implementation of TKDE paper "Deep isolation forest for anomaly detection"☆85Updated 4 months ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆40Updated 3 years ago
- ☆18Updated 5 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆46Updated 2 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆16Updated 3 years ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆47Updated 3 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆28Updated 4 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆18Updated last year
- GANs for class imbalanced problems☆26Updated 2 years ago
- A curated list of time series augmentation resources.☆65Updated 2 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆37Updated 2 years ago
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆18Updated 3 years ago
- Deep Learning for Anomaly Deteection☆59Updated last year
- Evaluate real and synthetic datasets against each other☆80Updated 3 weeks ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 3 years ago
- ☆63Updated 3 years ago
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆80Updated 9 months ago
- ☆20Updated 2 years ago
- Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data☆13Updated 5 years ago
- This method is a new oversampling algorithm and can circumvent the deficiency of WK-SMOTE (and SMOTE as well as its variants) caused by r…☆15Updated 2 years ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆62Updated 4 years ago