GuHY777 / SS-VAE-pytorchLinks
The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch
☆18Updated 6 years ago
Alternatives and similar repositories for SS-VAE-pytorch
Users that are interested in SS-VAE-pytorch are comparing it to the libraries listed below
Sorting:
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated last year
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆138Updated 2 years ago
- ☆24Updated 6 years ago
- ☆40Updated 2 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆69Updated 5 years ago
- ☆66Updated 6 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- ☆16Updated 5 years ago
- Joint distribution optimal transportation for domain adaptation☆102Updated 7 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 6 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆55Updated 6 years ago
- Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)☆69Updated 2 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆308Updated 7 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆91Updated last year
- ☆127Updated 7 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Using VAEs to do clustering for classification☆11Updated 8 years ago
- implement Domain-Adversarial Training of Neural Networks☆60Updated 7 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 6 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆63Updated 5 years ago
- Demo code for the MDAN paper.☆126Updated 5 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆210Updated 5 years ago