LiUzHiAn / VAE-PytorchLinks
☆65Updated 5 years ago
Alternatives and similar repositories for VAE-Pytorch
Users that are interested in VAE-Pytorch are comparing it to the libraries listed below
Sorting:
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆339Updated 6 years ago
- pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder☆80Updated 6 years ago
- 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）☆245Updated last year
- A Variational Autoencoder (VAE) implemented in PyTorch☆427Updated 3 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆133Updated 7 years ago
- extract features by maximizing mutual information☆148Updated 5 years ago
- Pytorch implementation for t-SNE with cuda to accelerate☆338Updated 2 years ago
- pytorch learning tutorials☆121Updated 3 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆633Updated 5 years ago
- A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.☆144Updated 6 years ago
- Pytorch implementation of Domain Separation Networks☆152Updated 6 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆270Updated 3 years ago
- Multi-head attention in PyTorch☆153Updated 6 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆211Updated 3 years ago
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago
- implement Domain-Adversarial Training of Neural Networks☆60Updated 7 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆450Updated 2 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆473Updated 3 years ago
- Graph Convolution Network for PyTorch☆406Updated 6 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- An implementation of DANN with pytorch☆213Updated 6 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆194Updated 3 years ago
- Generation of 128x128 bird images using VAE-GAN with additional feature matching loss☆90Updated 7 years ago
- A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation☆150Updated 4 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆136Updated 2 years ago
- Code for the paper "Contrastive Clustering" (AAAI 2021)☆323Updated 3 years ago
- Pytorch implementation of Masked Auto-Encoder☆40Updated 3 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆180Updated 3 years ago
- a simple vae and cvae from keras☆1,347Updated 4 years ago