Alternatives and similar repositories for siamese-triplet

Users that are interested in siamese-triplet are comparing it to the libraries listed below

• harveyslash / Facial-Similarity-with-Siamese-Networks-in-Pytorch
  Implementing Siamese networks with a contrastive loss for similarity learning
  ☆990Updated 5 years ago
• ufoym / imbalanced-dataset-sampler
  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
  ☆2,326Updated 3 weeks ago
• facebookresearch / deepcluster
  Deep Clustering for Unsupervised Learning of Visual Features
  ☆1,740Updated 4 years ago
• omoindrot / tensorflow-triplet-loss
  Implementation of triplet loss in TensorFlow
  ☆1,130Updated 6 years ago
• DeepVoltaire / AutoAugment
  Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
  ☆1,495Updated 2 years ago
• KevinMusgrave / pytorch-metric-learning
  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
  ☆6,297Updated 5 months ago
• clcarwin / focal_loss_pytorch
  A PyTorch Implementation of Focal Loss.
  ☆992Updated 6 years ago
• Cadene / pretrained-models.pytorch
  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
  ☆9,114Updated 3 years ago
• KaiyangZhou / pytorch-center-loss
  Pytorch implementation of Center Loss
  ☆995Updated 2 years ago
• zhanghang1989 / ResNeSt
  ResNeSt: Split-Attention Networks
  ☆3,265Updated 3 years ago
• zhanghang1989 / PyTorch-Encoding
  A CV toolkit for my papers.
  ☆2,048Updated last year
• facebookresearch / mixup-cifar10
  mixup: Beyond Empirical Risk Minimization
  ☆1,198Updated 4 years ago
• sksq96 / pytorch-summary
  Model summary in PyTorch similar to `model.summary()` in Keras
  ☆4,064Updated last year
• facebookresearch / pycls
  Codebase for Image Classification Research, written in PyTorch.
  ☆2,169Updated last year
• bearpaw / pytorch-classification
  Classification with PyTorch.
  ☆1,748Updated last year
• filipradenovic / cnnimageretrieval-pytorch
  CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
  ☆1,486Updated last year
• CoinCheung / pytorch-loss
  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
  ☆2,258Updated last year
• subeeshvasu / Awesome-Learning-with-Label-Noise
  A curated list of resources for Learning with Noisy Labels
  ☆2,719Updated 8 months ago
• nitrain / nitrain
  Train AI models efficiently on medical images using any framework
  ☆1,876Updated last year
• google-research / simclr
  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
  ☆4,444Updated 2 years ago
• kazuto1011 / grad-cam-pytorch
  PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
  ☆803Updated 6 years ago
• osmr / imgclsmob
  Sandbox for training deep learning networks
  ☆3,020Updated last year
• kakaobrain / fast-autoaugment
  Official Implementation of 'Fast AutoAugment' in PyTorch.
  ☆1,614Updated 4 years ago
• adobe / antialiased-cnns
  pip install antialiased-cnns to improve stability and accuracy
  ☆1,679Updated last year
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,996Updated 2 years ago
• CuriousAI / mean-teacher
  A state-of-the-art semi-supervised method for image recognition
  ☆1,649Updated 5 years ago
• zhoubolei / CAM
  Class Activation Mapping
  ☆1,884Updated 3 years ago
• google-research / uda
  Unsupervised Data Augmentation (UDA)
  ☆2,205Updated 4 years ago
• moskomule / senet.pytorch
  PyTorch implementation of SENet
  ☆2,342Updated 4 years ago
• bnu-wangxun / Deep_Metric
  Deep Metric Learning
  ☆781Updated 5 years ago