santiagxf / ContrastiveLearningLinks
This repo demostrates how to use the concept of contrastive learning in an anommaly detection setting with autoencoders (also know as discriminative autoencoders)
☆15Updated 5 years ago
Alternatives and similar repositories for ContrastiveLearning
Users that are interested in ContrastiveLearning are comparing it to the libraries listed below
Sorting:
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆40Updated 4 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 years ago
- List of implementation of SOTA deep anomaly detection methods☆109Updated 4 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 5 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆56Updated 3 years ago
- ☆47Updated 4 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆36Updated 4 years ago
- ☆59Updated 5 years ago
- Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …☆154Updated 4 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆49Updated 3 years ago
- Python code for abnormal detection using Support Vector Data Description (SVDD)☆212Updated last year
- a time series anomaly detection method based on the calibrated one-class classifier☆70Updated 5 months ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆64Updated 5 years ago
- ☆212Updated 2 years ago
- Deep Contrastive One-Class Time Series Anomaly Detection☆37Updated 10 months ago
- A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.☆349Updated 3 years ago
- A Transformer-based GAN for Anomaly Detection, International Conference on Artificial Neural Networks, (ICANN2022).☆23Updated 2 years ago
- [IEEE TKDE] DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection☆16Updated 2 years ago
- ☆56Updated last year
- ☆74Updated 4 years ago
- DAGMM Tensorflow implementation☆180Updated 2 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆40Updated 4 years ago
- ☆15Updated 3 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆259Updated 7 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆149Updated 6 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 5 years ago
- Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…☆129Updated 3 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆121Updated 4 years ago
- MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow☆122Updated 6 years ago
- Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆29Updated 5 years ago