Alternatives and similar repositories for autoencoders

Users that are interested in autoencoders are comparing it to the libraries listed below

• SoongE / siamese-one-shot-pytorch
  Example of one shot learning and few shot learning with omniglot dataset.
  ☆27Updated 4 years ago
• foamliu / Autoencoder
  Convolutional Autoencoder with SetNet in PyTorch
  ☆88Updated 3 years ago
• jingpingjiao / siamese_cnn
  Pytorch implementation of Siamese networks that learns to classify its inputs, the neural networks learns to differentiate between two pe…
  ☆33Updated 6 years ago
• sutd-visual-computing-group / dag-gans
  Data Augmentation optimized for GAN
  ☆58Updated 4 years ago
• julianstastny / VAE-ResNet18-PyTorch
  A Variational Autoencoder based on the ResNet18-architecture
  ☆121Updated 6 years ago
• iKintosh / GaborNet
  ☆104Updated 4 years ago
• Lornatang / WassersteinGAN_GP-PyTorch
  Improved training of Wasserstein GANs
  ☆46Updated 4 years ago
• dariocazzani / pytorch-AE
  Autoencoders in PyTorch
  ☆95Updated 3 years ago
• google-research / deep_representation_one_class
  ☆155Updated last year
• liuem607 / expVAE
  Visually Explainable VAE
  ☆63Updated 4 years ago
• hsinyilin19 / ResNetVAE
  Variational AutoEncoder + ResNet Transfer Learning
  ☆232Updated 3 years ago
• tczhangzhi / VisionTransformer-Pytorch
  ☆72Updated 4 years ago
• KinWaiCheuk / pytorch-triplet-loss
  Triplet-net and triplet loss implementation on pytorch
  ☆41Updated 3 years ago
• franknb / Self-attention-DCGAN
  An application of Self-Attention GANs and DCGAN on mnist dataset.
  ☆49Updated 5 years ago
• pranjaldatta / Denoising-Autoencoder-in-Pytorch
  A Pytorch Implementation of a denoising autoencoder.
  ☆46Updated 6 years ago
• AntonP999 / Sparse_autoencoder
  PyTorch implementation of sparse autoencoder.
  ☆39Updated 5 years ago
• shivakanthsujit / VAE-PyTorch
  Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch
  ☆32Updated 2 years ago
• YeongHyeon / GANomaly-PyTorch
  Implementation of GANomaly with MNIST dataset
  ☆17Updated 5 years ago
• guspih / Perceptual-Autoencoders
  Experiments with perceptual loss and autoencoders.
  ☆28Updated 4 years ago
• YeongHyeon / CVAE-AnomalyDetection-PyTorch
  Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
  ☆44Updated last year
• dipuk0506 / SpinalNet
  SpinalNet: Deep Neural Network with Gradual Input
  ☆178Updated 3 weeks ago
• quanghuy0497 / Transformers4Vision
  A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-…
  ☆113Updated 3 years ago
• revidee / pytorch-pyramid-pooling
  This Module implements Spatial Pyramid Pooling (SPP) and Temporal Pyramid Pooling (TPP) as described in different papers.
  ☆57Updated 6 years ago
• seungjunlee96 / Depthwise-Separable-Convolution_Pytorch
  Implementation of Depthwise Separable Convolution (pytorch)
  ☆82Updated 5 years ago
• tuvovan / Vision_Transformer_Keras
  Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
  ☆97Updated 4 years ago
• DenisDsh / PyTorch-Deep-CORAL
  This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…
  ☆55Updated 6 years ago
• asagar60 / Siamese-Neural-Networks-for-One-shot-Image-Recognition
  One Shot Learning Implementation
  ☆42Updated 5 years ago
• fangpin / siamese-pytorch
  Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
  ☆294Updated 2 months ago
• LukeDitria / CNN-VAE
  Variational Autoencoder (VAE) with perception loss implementation in pytorch
  ☆141Updated last year
• ariG23498 / mae-scalable-vision-learners
  A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
  ☆84Updated 3 years ago