selimfirat / addml
Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization
☆12Updated 2 years ago
Alternatives and similar repositories for addml:
Users that are interested in addml are comparing it to the libraries listed below
- Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.☆37Updated 2 years ago
- Source code for "Training Generative Adversarial Networks Via Turing Test".☆13Updated 4 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 6 years ago
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Radam+lookahead implemented by tensorflow☆11Updated 5 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer☆22Updated 3 years ago
- Python scripts to facilitate easy working☆11Updated 10 months ago
- Codes for Category-aware Generative Adversarial Networks (AAAI 2020)☆18Updated 4 years ago
- SSL using PyTorch☆49Updated 5 years ago
- ☆23Updated 4 years ago
- Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"☆31Updated 5 years ago
- TensorFlow implementation of several popular Graph Neural Network layers, wrapped with tf.keras.layers.Layer.☆20Updated 5 years ago
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 6 years ago
- Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations☆17Updated 4 years ago
- Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"☆42Updated 2 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- bumble bee transformer☆14Updated 4 years ago
- Python package for graph statistics☆9Updated 4 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- ☆17Updated 4 years ago
- Keras implementation of temporal ensembling(semi-supervised learning)☆22Updated 6 years ago
- TF 2.x implementation of MoCo v1 (Momentum Contrast for Unsupervised Visual Representation Learning, CVPR 2020) and MoCo v2 (Improved Bas…☆27Updated 4 years ago
- A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"☆25Updated 3 years ago
- Implementation for <Neural Similarity Learning> in NeurIPS'19.☆33Updated 4 years ago
- TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques☆31Updated 4 years ago
- Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"☆14Updated 5 years ago
- Code of the paper Fair k-Means Clustering☆13Updated 3 years ago
- Colab notebooks for d2l-book☆11Updated 5 years ago