u7javed / Conditional-WGAN-GPLinks
Implementation of a Wasserstein Generative Adversarial Network with Gradient Penalty to enforce lipchitz constraint. The WGAN utilizes the wasserstein loss or critic as its loss function instead of the vanilla GAN loss. It has shown to perform better as is often used as a solution to mode collapse, a common issue in GANs where the generator prod…
☆14Updated 4 years ago
Alternatives and similar repositories for Conditional-WGAN-GP
Users that are interested in Conditional-WGAN-GP are comparing it to the libraries listed below
Sorting:
- Continuous Conditional Generative Adversarial Networks (CcGAN)☆131Updated last year
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆38Updated 5 years ago
- Improved training of Wasserstein GANs☆47Updated 3 years ago
- A curated list of time series augmentation resources.☆65Updated 3 years ago
- PyTorch-1D-ACGAN for data generation. It can also work as classfier☆21Updated 4 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆62Updated 5 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆22Updated 4 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆37Updated 3 years ago
- ☆37Updated last year
- We're generating faces with Pytorch GAN implementations☆15Updated 5 years ago
- synthetic data generation of time-series data☆27Updated 3 years ago
- Pytorch implementation of BiGAN and Conditional BiGAN☆25Updated 6 years ago
- Implementation of a Conditional Variational Auto-Encoder GAN in pytorch☆43Updated 3 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆30Updated last year
- ☆16Updated 2 years ago
- AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks☆30Updated last year
- ☆64Updated 2 years ago
- ☆18Updated 5 years ago
- Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification☆20Updated 3 years ago
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Updated 4 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆33Updated 4 years ago
- Adversarial Weighting for Domain Adaptation in Regression☆23Updated 3 years ago
- ☆17Updated 6 years ago
- Convolutional Variational Autoencoder for classification and generation of time-series☆43Updated 5 years ago
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Updated 4 years ago
- A transformer guided GAN to generate synthetic time-series data.☆33Updated 3 years ago
- TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation☆80Updated 2 years ago
- XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification☆49Updated 2 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 3 years ago