marrrcin / rsrlayer-pytorch
PyTorch implementation of Robust Subspace Recovery Layer for Unsupervised Anomaly Detection https://arxiv.org/abs/1904.00152
☆14Updated 3 years ago
Related projects: ⓘ
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆116Updated last month
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- Easy to use class balanced cross entropy and focal loss implementation for Pytorch☆87Updated last year
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆74Updated last year
- ☆155Updated 4 months ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆167Updated last year
- Implementation of the Siamese Neural Networks in PyTorch using MNIST dataset☆34Updated 11 months ago
- Implementation of self-supervised image-level contrastive pretraining methods using Keras.☆68Updated 2 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆132Updated 3 years ago
- Visually Explainable VAE☆61Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated last year
- Example of one shot learning and few shot learning with omniglot dataset.☆23Updated 3 years ago
- ☆64Updated 3 years ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 3 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆170Updated 2 months ago
- This is the official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".☆45Updated 2 years ago
- Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'☆39Updated 2 years ago
- TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".☆85Updated 2 years ago
- ☆144Updated 3 years ago
- An unofficial implementation of BYOL for self-supervised representation learning on CIFAR-10 (TensorFlow 2)☆24Updated 3 years ago
- ModelSoups for Tensorflow2 and Torch☆46Updated 2 years ago
- This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies in…☆146Updated last year
- (Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.☆89Updated 3 years ago
- A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.☆71Updated last year
- Repository for the Explainable Deep One-Class Classification paper☆222Updated last year
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 4 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆35Updated 11 months ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆75Updated 2 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆81Updated 3 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆36Updated 3 years ago