Alternatives and similar repositories for Siamese-Networks

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

• hlamba28 / One-Shot-Learning-with-Siamese-Networks
  Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset
  ☆138Updated 5 years ago
• sorenbouma / keras-oneshot
  koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
  ☆374Updated 6 years ago
• gabrielwong159 / siamese
  One-shot learning for image classification using Siamese neural networks
  ☆36Updated 6 years ago
• tensorfreitas / Siamese-Networks-for-One-Shot-Learning
  Implementation of Siamese Neural Networks for One-shot Image Recognition
  ☆620Updated 6 years ago
• cetinsamet / zero-shot-learning
  Implementation of Zero-Shot Learning algorithm using Word2Vecs as class embeddings
  ☆87Updated 6 years ago
• KinWaiCheuk / Triplet-net-keras
  Implementation of Triplet Neural Network on keras
  ☆70Updated 5 years ago
• CrimyTheBold / tripletloss
  One Shot learning, Siamese networks and Triplet Loss with Keras
  ☆81Updated 4 years ago
• sanku-lib / image_triplet_loss
  Image similarity using Triplet Loss
  ☆102Updated 6 months ago
• ClementWalter / Keras-FewShotLearning
  Some State-of-the-Art few shot learning algorithms in tensorflow 2
  ☆213Updated 2 years ago
• AdrianUng / keras-triplet-loss-mnist
  Keras model trained using semi-hard triplet Loss (tensorflow function) on MNIST
  ☆91Updated 6 years ago
• tgsmith61591 / smrt
  Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
  ☆126Updated 6 years ago
• Hsankesara / Prototypical-Networks
  A novel method for few shot learning
  ☆52Updated 5 years ago
• noelcodella / tripletloss-keras-tensorflow
  An example implementation of triplet-loss in tensorflow using keras
  ☆55Updated 5 years ago
• avilash / pytorch-siamese-triplet
  One-Shot Learning with Triplet CNNs in Pytorch
  ☆92Updated 5 years ago
• thatbrguy / Multilabel-Classification
  Repository containing code for the blog post titled "How To Easily Classify Food Using Deep Learning and Tensorflow"
  ☆64Updated 6 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 6 years ago
• fangpin / siamese-pytorch
  Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
  ☆294Updated 3 months ago
• Tony607 / Keras_Deep_Clustering
  How to do Unsupervised Clustering with Keras
  ☆240Updated 7 years ago
• anujshah1003 / Transfer-Learning-in-keras---custom-data
  Implementing Transfer Learning for custom data using VGG-16 and Resnet-50
  ☆152Updated 4 years ago
• nickbiso / Keras-Class-Activation-Map
  Class Activation Map using Keras
  ☆81Updated 7 years ago
• shivsondhi / Triplet-Loss
  Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset
  ☆39Updated 7 years ago
• titu1994 / keras-attention-augmented-convs
  Keras implementation of Attention Augmented Convolutional Neural Networks
  ☆121Updated 5 years ago
• rohanbaisantry / image-clustering
  This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and…
  ☆51Updated 5 years ago
• WillKoehrsen / pytorch_challenge
  ☆111Updated 3 years ago
• johnsmithm / multi-heads-attention-image-classification
  Multi heads attention for image classification
  ☆79Updated 7 years ago
• eclique / keras-gradcam
  Keras implementation of GradCAM.
  ☆115Updated 6 years ago
• prakashjayy / pytorch_classifiers
  Almost any Image classification problem using pytorch
  ☆132Updated 5 years ago
• asparagus / triplet-net
  Keras implementation of "Deep Learning using Triplet Network" by Hoffer and Ailon. https://arxiv.org/pdf/1412.6622.pdf
  ☆59Updated 5 years ago
• IBM / BAGAN
  Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.
  ☆111Updated 4 years ago
• beleidy / unsupervised-image-clustering
  An unsupervised image clustering algorithm that uses VGGNet for image transformation. Python, scikit-learn and tensorflow.
  ☆107Updated 7 years ago