danoneata / fast-ncaLinks
Fast implementation of the Neighborhood Component Analysis algorithm
☆12Updated 7 years ago
Alternatives and similar repositories for fast-nca
Users that are interested in fast-nca are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neur…☆16Updated 3 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 8 years ago
- TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.☆18Updated 8 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 6 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Label Distribution Learning Forest☆30Updated 7 years ago
- ☆61Updated 7 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Updated 5 years ago
- ☆51Updated 10 years ago
- ☆10Updated 5 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Manifold Regularized Deep Neural Networks written in Python using numpy and gnumpy to run on GPUs.☆15Updated 8 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 7 years ago
- Tensorflow Implementation of open set domain adaptation by backpropagation☆30Updated 6 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classifica…☆25Updated 7 years ago
- ☆26Updated 7 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆16Updated 4 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 4 years ago
- Keras implementation of temporal ensembling(semi-supervised learning)☆22Updated 6 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆148Updated 9 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 6 years ago
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆54Updated 6 years ago
- ☆13Updated 5 years ago
- PyTorch implementation of semi-supervised GAN☆14Updated 7 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆24Updated 9 years ago
- Code for the paper "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation" (AAAI-2019)☆42Updated 6 years ago