samplesvdd / sample_svddLinks
A sampling SVDD algorithm for large datasets.
☆17Updated 9 years ago
Alternatives and similar repositories for sample_svdd
Users that are interested in sample_svdd are comparing it to the libraries listed below
Sorting:
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆262Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 8 years ago
- Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection…☆195Updated 6 years ago
- ☆199Updated 8 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆138Updated 6 years ago
- GAAL-based Outlier Detection☆134Updated 3 years ago
- Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)☆225Updated 5 years ago
- Latent space autoregression for novelty detection.☆199Updated 3 years ago
- code for "Adversarial Feature Learning"☆239Updated 3 years ago
- Caffe: a fast open framework for deep learning.☆137Updated 10 years ago
- Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)☆69Updated 7 years ago
- Models for one class neural networks☆44Updated 7 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- ☆222Updated 6 years ago
- A simple and effective method for single-class classification of images☆161Updated 4 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 8 years ago
- Matching Networks for one-shot learning in tensorflow (NIPS'16)☆56Updated 7 years ago
- Repository for the One class neural networks paper☆167Updated 6 years ago
- Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)☆161Updated 8 years ago
- Code for paper "How transferable are features in deep neural networks?"☆151Updated 6 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆64Updated 6 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆131Updated 7 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆185Updated 6 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆147Updated 7 years ago
- My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆421Updated 3 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆86Updated 5 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆28Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆140Updated 9 years ago
- Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"☆296Updated 6 years ago