Alternatives and similar repositories for oc-nn-pytorch

Users that are interested in oc-nn-pytorch are comparing it to the libraries listed below

• izikgo / AnomalyDetectionTransformations
  A simple and effective method for single-class classification of images
  ☆160Updated 3 years ago
• lironber / GOAD
  Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
  ☆90Updated 11 months ago
• xiehousen / OCGAN-Pytorch
  UnOfficial PyTorch Implementation of OCGAN!
  ☆30Updated 5 years ago
• zghafoori / Deep-Multi-Sphere-SVDD
  ☆17Updated 2 years ago
• PramuPerera / OCGAN
  ☆50Updated 2 years ago
• khalooei / ALOCC-CVPR2018
  Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
  ☆224Updated 4 years ago
• SchafferZhang / DADA
  code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
  ☆51Updated 6 years ago
• foamliu / Autoencoder
  Convolutional Autoencoder with SetNet in PyTorch
  ☆87Updated 2 years ago
• podgorskiy / GPND
  Generative Probabilistic Novelty Detection with Adversarial Autoencoders
  ☆130Updated 4 years ago
• ChaofWang / L-GM_loss_pytorch
  Rethinking Feature Distribution for Loss Functions in Image Classification
  ☆42Updated 2 years ago
• otkupjnoz / oc-cnn
  ☆62Updated 5 years ago
• alinlab / CSI
  CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
  ☆282Updated last year
• seominseok0429 / label-smoothing-visualization-pytorch
  When Does Label Smoothing Help?_pytorch_implementationimp
  ☆125Updated 5 years ago
• hendrycks / ss-ood
  Self-Supervised Learning for OOD Detection (NeurIPS 2019)
  ☆267Updated 4 years ago
• raghavchalapathy / oc-nn
  Repository for the One class neural networks paper
  ☆167Updated 6 years ago
• tomp11 / metric_learning
  Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE
  ☆35Updated 2 years ago
• YeongHyeon / GANomaly-PyTorch
  Implementation of GANomaly with MNIST dataset
  ☆17Updated 5 years ago
• olivesgatech / gradcon-anomaly
  Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"
  ☆29Updated 4 years ago
• liuem607 / expVAE
  Visually Explainable VAE
  ☆63Updated 4 years ago
• xaggi / OGNet
  Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'
  ☆89Updated 4 years ago
• iKintosh / GaborNet
  ☆104Updated 4 years ago
• lukasruff / Deep-SAD-PyTorch
  A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
  ☆349Updated 2 years ago
• aimagelab / novelty-detection
  Latent space autoregression for novelty detection.
  ☆196Updated 2 years ago
• PramuPerera / TransferLearningNovelty
  ☆23Updated 5 years ago
• SnowMasaya / Efficient_GAN-Based_Anomaly_Detection_Keras
  ☆25Updated 5 years ago
• sutd-visual-computing-group / dag-gans
  Data Augmentation optimized for GAN
  ☆56Updated 4 years ago
• hyseob / Batch-Instance-Normalization
  Batch-Instance Normalization (BIN)
  ☆78Updated 5 years ago
• leftthomas / GradCAM
  A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…
  ☆59Updated 7 years ago
• MrtnMndt / Deep_Openset_Recognition_through_Uncertainty
  PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…
  ☆90Updated 3 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆102Updated 5 years ago