avijit9 / Contractive_Autoencoder_in_Pytorch

Related projects: ⓘ

• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated 11 months ago
• maitek / waae-pytorch
  Wasserstein Adversarial Autoencoder Pytorch
  ☆27Updated 6 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆43Updated 5 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆86Updated 5 years ago
• ReyhaneAskari / pytorch_experiments
  Auto Encoders in PyTorch
  ☆64Updated 6 years ago
• o-tawab / Variational-Autoencoder-pytorch
  Implementation of a convolutional Variational-Autoencoder model in pytorch.
  ☆72Updated 5 years ago
• mmcdermott / CWR-GAN
  The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.
  ☆22Updated 6 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 5 years ago
• ToniCreswell / ConvolutionalAutoEncoder
  A very simple convolutional autoencoder implemented in lasagne, applied to MNIST as an example
  ☆19Updated last year
• abhiskk / ladder
  Implementation of Ladder Network in PyTorch.
  ☆45Updated 7 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆56Updated 6 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 5 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…
  ☆31Updated 3 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆91Updated 6 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆77Updated 2 years ago
• bruno-31 / gan-manifold-reg
  This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning
  ☆24Updated 5 years ago
• xinario / catgan_pytorch
  Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
  ☆60Updated 6 years ago
• natashamjaques / MultimodalAutoencoder
  Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…
  ☆72Updated 5 years ago
• artix41 / transfer-learning-algorithms
  Implementation of many transfer learning algorithms in Python with Jupyter notebooks
  ☆47Updated 6 years ago
• wmingwei / restricted-boltzmann-machine-deep-belief-network-deep-boltzmann-machine-in-pytorch
  ☆51Updated 7 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 5 years ago
• orobix / Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch
  Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
  ☆93Updated last year
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆98Updated 8 years ago
• abyoussef / DRBM_Project
  Learning joint representation with a Multimodal Deep Boltzmann Machine
  ☆39Updated 7 years ago
• pawni / BayesByHypernet
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Updated 4 years ago
• tkkiran / Robust-Conditional-GAN
  Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018
  ☆40Updated 5 years ago
• a514514772 / Pytorch-VAE-GAN
  Pytorch implementation of Autoencoding beyond Pixels Using a Learned Similarity Metric
  ☆29Updated 6 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 5 years ago
• nitarshan / variational-autoencoder
  PyTorch implementation of "Auto-Encoding Variational Bayes"
  ☆38Updated 7 years ago