Alternatives and similar repositories for VAE-Pytorch:

Users that are interested in VAE-Pytorch are comparing it to the libraries listed below

• hujinsen / pytorch_VAE_CVAE
  pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder
  ☆79Updated 6 years ago
• bojone / infomax
  extract features by maximizing mutual information
  ☆149Updated 5 years ago
• ethanluoyc / pytorch-vae
  A Variational Autoencoder (VAE) implemented in PyTorch
  ☆420Updated 2 years ago
• Deepayan137 / DeepClustering
  A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.
  ☆137Updated 5 years ago
• DuaneNielsen / DeepInfomaxPytorch
  Learning deep representations by mutual information estimation and maximization
  ☆324Updated 6 years ago
• PanJinquan / pytorch-learning-notes
  pytorch learning tutorials
  ☆121Updated 3 years ago
• iBelieveCJM / pseudo_label-pytorch
  The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
  ☆337Updated 6 years ago
• scilearner / papernotclear
  蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）
  ☆242Updated last year
• fungtion / DSN
  Pytorch implementation of Domain Separation Networks
  ☆149Updated 6 years ago
• oscarkey / multitask-learning
  MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …
  ☆88Updated 5 years ago
• CyberZHG / torch-multi-head-attention
  Multi-head attention in PyTorch
  ☆150Updated 6 years ago
• rohithreddy024 / VAE-GAN-Pytorch
  Generation of 128x128 bird images using VAE-GAN with additional feature matching loss
  ☆89Updated 6 years ago
• iBelieveCJM / Tricks-of-Semi-supervisedDeepLeanring-Pytorch
  PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
  ☆448Updated 2 years ago
• brianlan / pytorch-grad-norm
  Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…
  ☆259Updated 2 years ago
• mxl1990 / tsne-pytorch
  Pytorch implementation for t-SNE with cuda to accelerate
  ☆331Updated last year
• renjunxiang / Multihead-Attention
  Multihead Attention for PyTorch
  ☆25Updated 5 years ago
• syorami / DDC-transfer-learning
  A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
  ☆154Updated 6 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆100Updated 5 years ago
• tomtang110 / multi-task_loss_optimizer
  Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task
  ☆46Updated 3 years ago
• JasonZhang156 / awesome-mixed-sample-data-augmentation
  A collection of awesome things about mixed sample data augmentation
  ☆131Updated 4 years ago
• Yunfan-Li / Contrastive-Clustering
  Code for the paper "Contrastive Clustering" (AAAI 2021)
  ☆310Updated 2 years ago
• Nana0606 / autoencoder
  个人练习，自编码器及其变形（理论+实践）
  ☆336Updated 5 years ago
• hosseinshn / GradNorm
  This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
  ☆173Updated 3 years ago
• FlyEgle / MAE-pytorch
  Masked Autoencoders Are Scalable Vision Learners
  ☆247Updated last year
• liujiyuan13 / MAE-code
  Pytorch implementation of Masked Auto-Encoder
  ☆39Updated 3 years ago
• timbmg / VAE-CVAE-MNIST
  Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
  ☆619Updated 2 months ago
• dragen1860 / GCN-PyTorch
  Graph Convolution Network for PyTorch
  ☆400Updated 5 years ago
• ShichengChen / Domain-Adversarial-Training-of-Neural-Networks
  implement Domain-Adversarial Training of Neural Networks
  ☆60Updated 6 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆295Updated 4 years ago
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆136Updated 6 years ago