WYu-Feng / pc-gainLinks
☆14Updated 4 years ago
Alternatives and similar repositories for pc-gain
Users that are interested in pc-gain are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆22Updated 2 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆29Updated 3 years ago
- Improved training of Wasserstein GANs☆46Updated 4 years ago
- This code reproduces the results presented in the paper "DAEMA: Denoising Autoencoder with Mask Attention" accepted at the ICANN 2021 con…☆14Updated 3 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆63Updated 5 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 5 months ago
- Spectral Attention Autoregressive Model (SAAM)☆15Updated 2 years ago
- Categorical Variational Auto-encoders in PyTorch☆21Updated 3 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆55Updated 2 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 4 years ago
- Conditional Wasserstein GANs☆73Updated 7 years ago
- (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55☆45Updated 5 years ago
- A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"☆51Updated last year
- Graph Imputation Neural Network☆79Updated 5 years ago
- Implementation of a Conditional Variational Auto-Encoder GAN in pytorch☆43Updated 3 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- An encoder-decoder framework for learning from incomplete data☆44Updated 2 years ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆16Updated last year
- Implementation of dynamic temporal pooling (DTP) for time series classification☆39Updated 3 years ago
- Deep Generative Learning via Schrödinger Bridge☆24Updated 3 years ago
- This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.☆113Updated last year
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆49Updated last year
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆86Updated 3 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆38Updated 3 years ago
- ☆10Updated 3 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)☆43Updated 2 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆43Updated 5 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆102Updated 4 years ago
- Transformer-based autoregressive varitional autoencoder☆11Updated 5 years ago