daisukelab / metric_learningLinks
Metric Learning App Dev Resource
☆59Updated 5 years ago
Alternatives and similar repositories for metric_learning
Users that are interested in metric_learning are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"☆137Updated 4 years ago
- Faster and more precisely than Grad-CAM☆36Updated 5 years ago
- AutoEncoder vs Metric Learning for Anomaly Detection☆28Updated 5 years ago
- the 3rd place solution code of Kaggle TReNDS Neuroimaging (https://www.kaggle.com/c/trends-assessment-prediction/overview)☆55Updated 5 years ago
- Anomaly detection method that incorporates multi-scale features to sparse coding☆46Updated 5 years ago
- an implementation of mixup☆41Updated 5 years ago
- 6th place solution☆40Updated 2 years ago
- EfficientNet-GradCam Visualization☆80Updated 6 years ago
- Unofficial implementation of "Max-margin Class Imbalanced Learning with Gaussian Affinity"☆73Updated 3 years ago
- Attention Branch Network (CIFAR100, ImageNet models)☆272Updated last year
- Implementation of Siamese Networks using PyTorch☆12Updated 7 years ago
- an personal implementation about randaugment☆77Updated last year
- Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras☆168Updated 5 years ago
- SSL using PyTorch☆49Updated 5 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆89Updated 5 years ago
- A simple image dataset EDA tool (CLI / Code)☆55Updated 5 years ago
- ☆16Updated 5 years ago
- Unsupervised anomaly detection with generative model, keras implementation☆182Updated 5 years ago
- ☆44Updated 2 years ago
- Benchmark Benchmark Benchmark!☆51Updated 2 years ago
- Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020☆103Updated 2 years ago
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 6 years ago
- Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)☆225Updated 4 years ago
- 1st place solution source code of Kaggle Happy Whale competition☆58Updated 3 years ago
- Toolbox for Unsupervised Anomaly Detection on MVTec AD☆12Updated 4 years ago
- ☆25Updated 5 years ago
- An implementation of Grad-CAM with keras(v2.1.3 tested)☆41Updated 7 years ago
- ☆72Updated last year
- homura is a library for fast prototyping DL research☆106Updated 3 years ago
- Differentiable Data Augmentation Library☆123Updated 3 years ago