Alternatives and similar repositories for Prototypical-Networks:

Users that are interested in Prototypical-Networks are comparing it to the libraries listed below

• johnsmithm / multi-heads-attention-image-classification
  Multi heads attention for image classification
  ☆81Updated 6 years ago
• cnichkawde / MatchingNetwork
  Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080
  ☆53Updated 6 years ago
• abdulfatir / prototypical-networks-tensorflow
  Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
  ☆133Updated 7 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 5 years ago
• akshaysharma096 / Siamese-Networks
  Few Shot Learning by Siamese Networks, using Keras.
  ☆191Updated 4 years ago
• koshian2 / Pseudo-Label-Keras
  Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras
  ☆37Updated 6 years ago
• titu1994 / keras-attention-augmented-convs
  Keras implementation of Attention Augmented Convolutional Neural Networks
  ☆121Updated 5 years ago
• stanislavfort / gaussian-prototypical-networks
  Gaussian prototypical network architecture for few-shot learning
  ☆39Updated 5 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆41Updated 6 years ago
• P1Analytics / Pseudo-Label-for-Deep-Neural-Networks
  Semi-Supervised Learning Method for Deep Neural Networks
  ☆28Updated 7 years ago
• cetinsamet / zero-shot-learning
  Implementation of Zero-Shot Learning algorithm using Word2Vecs as class embeddings
  ☆87Updated 6 years ago
• mlberkeley / Meta-Learning-Worskhop
  ☆16Updated 6 years ago
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 3 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆38Updated 6 years ago
• gabrielwong159 / siamese
  One-shot learning for image classification using Siamese neural networks
  ☆35Updated 6 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 4 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆79Updated 2 years ago
• zhangyaqi1989 / Ensemble-Methods-for-Image-Classification
  In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…
  ☆98Updated 6 years ago
• PAN001 / Deep-Neural-Network-Ensembles-for-Extreme-Classification
  Deep Neural Network Ensembles for Extreme Classification
  ☆41Updated 5 years ago
• shivsondhi / Triplet-Loss
  Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset
  ☆39Updated 6 years ago
• divamgupta / ladder_network_keras
  Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !
  ☆101Updated 3 years ago
• yangarbiter / multilabel-learn
  multilabel-learn: Multilabel-Classification Algorithms
  ☆36Updated 4 years ago
• titu1994 / keras-octconv
  Keras implementation of Octave Convolutions
  ☆53Updated 5 years ago
• fg91 / DeViSE-zero-shot-classification
  DeViSE model (zero-shot learning) trained on ImageNet and deployed on AWS using Docker
  ☆47Updated 5 years ago
• EricArazo / PseudoLabeling
  Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
  ☆153Updated 4 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 6 years ago
• wOOL / Learning_to_Compare
  Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"
  ☆29Updated 7 years ago
• eyounx / ASG
  Open category classification by adversarial sample generation
  ☆20Updated 4 years ago
• ylsung / gnn_few_shot_cifar100
  This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
  ☆86Updated 6 years ago
• lzrobots / DeepEmbeddingModel_ZSL
  Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
  ☆182Updated 5 years ago