LiUzHiAn / VAE-PytorchLinks
☆65Updated 6 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:
- pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder☆80Updated 7 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆343Updated 7 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆641Updated 5 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Updated 3 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 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）☆251Updated 2 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆433Updated 3 years ago
- Multi-head attention in PyTorch☆154Updated 6 years ago
- Pytorch implementation of Domain Separation Networks☆154Updated 6 years ago
- A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.☆148Updated 6 years ago
- pytorch learning tutorials☆120Updated 4 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆181Updated 4 years ago
- implement Domain-Adversarial Training of Neural Networks☆60Updated 7 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆213Updated 3 years ago
- Learning deep representations by mutual information estimation and maximization☆322Updated 6 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆452Updated 2 years ago
- Pytorch implementation for t-SNE with cuda to accelerate☆339Updated 2 years ago
- extract features by maximizing mutual information☆148Updated 6 years ago
- a simple vae and cvae from keras☆1,371Updated 4 years ago
- Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch☆648Updated 6 months ago
- An implementation of DANN with pytorch☆216Updated 6 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆563Updated 4 years ago
- A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation☆151Updated 5 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆91Updated 6 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆724Updated 3 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆474Updated 4 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆137Updated 7 years ago
- Graph Convolution Network for PyTorch☆407Updated 6 years ago
- ☆148Updated 4 years ago
- Pytorch implementation of Masked Auto-Encoder☆40Updated 3 years ago