Stars
21
Forks
8
Language
Python
Last Updated
Dec 09, 2023
Similar Repos
Repo | Language | Stars | Description | Updated At |
---|---|---|---|---|
Python | 19 | Improved training of Wasserstein GANs | Jul 22, 2022 | |
Python | 13 | Improved Training of Wasserstein GANs | Oct 26, 2022 | |
Python | 8 | Improved Training of Wasserstein GANs for Neural Machine Translation | Apr 29, 2022 | |
Jupyter Notebook | 6 | Implementation of "Improved Training of Wasserstein GANs" in PyTorch | Apr 27, 2020 | |
Python | 6 | Code for reproducing experiments in "Improved Training of Wasserstein GANs" | May 31, 2022 | |
Python | 2208 | Code for reproducing experiments in "Improved Training of Wasserstein GANs" | Aug 17, 2022 | |
Python | 24 | PyTorch implementation of "Improved Training of Wasserstein GANs", arxiv:1704.00028 | Jul 04, 2022 | |
Python | 1394 | A pytorch implementation of Paper "Improved Training of Wasserstein GANs" | May 13, 2023 | |
Python | 17 | Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow | Mar 29, 2022 | |
Python | 13 | Wasserstein Divergence for GANs | Jul 21, 2022 | |
Python | 4 | Pytorch implementation of Improved Training of Wasserstein GANs or WGAN-GP (Wasserstein GAN with Gradient Penalty) … | Feb 09, 2023 | |
Python | 11 | Improved Techniques for Training GANs for cifar10 dataset | Aug 08, 2022 | |
Python | 35 | Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual … | Oct 15, 2022 | |
Python | 2134 | Code for the paper "Improved Techniques for Training GANs" | Aug 12, 2022 | |
Python | 23 | code for the paper "Improved Techniques for Training GANs" | Jun 21, 2022 | |
Python | 2 | Implementarion of Semi-Supervised GANs from the paper "Improved Techniques for Training GANs" | Dec 17, 2022 | |
Python | 5 | Pytorch implementation of the paper (q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs (https://arxiv.org/abs/1902.03642) | Nov 28, 2022 | |
Jupyter Notebook | 2 | TER de L3 : GANs & text generation models | Jul 22, 2021 | |
Python | 137 | There is the semi-supervised implement of 'Improved Techniques for Training GANs ' | May 10, 2022 | |
Jupyter Notebook | 14 | Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020 | Dec 22, 2021 | |
Python | 3 | [Tool] Wasserstein Auto-Encoders for Text and Image generation PyTorch Implementation | Mar 18, 2023 | |
Python | 202 | Pytorch implementation of Wasserstein GANs with Gradient Penalty | May 18, 2023 | |
Python | 6 | Synthetic Text data generation for training OCR | Mar 01, 2022 | |
Python | 275 | Neural Text Generation with Unlikelihood Training | Jul 20, 2022 | |
Python | 187 | image generation via GANs | Apr 26, 2023 | |
Jupyter Notebook | 5 | Fashion Clothes Generation Using GANS | Jun 11, 2022 | |
Python | 56 | 🎨 Anime generation with GANs. | Aug 12, 2022 | |
Python | 10 | Procedural map generation with GANs. | May 18, 2022 | |
Python | 191 | GANs for time series generation in pytorch | Sep 12, 2022 | |
Python | 709 | TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models. | Sep 11, 2022 | |
Python | 2 | Progressive Growing of GANs for Improved Quality, Stability, and Variation | Oct 28, 2019 | |
Python | 2 | Progressive Growing of GANs for Improved Quality, Stability, and Variation | Feb 16, 2023 | |
Jupyter Notebook | 45 | Progressive Growing of GANs for Improved Quality, Stability, and Variation | Apr 26, 2022 | |
Python | 2 | Progressive Growing of GANs for Improved Quality, Stability, and Variation | Sep 17, 2018 | |
Python | 31 | FactorGAN - Training GANs with missing data | Jan 03, 2023 | |
Python | 70 | Tensorflow implementation for "Improved Transformer for High-Resolution GANs" (NeurIPS 2021). | Aug 03, 2022 | |
Jupyter Notebook | 5 | Two time-scale update rule for training GANs | Nov 18, 2020 | |
Python | 4 | Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation (EMNLP 2021) | Mar 14, 2023 | |
Python | 173 | Chinese GPT2: pre-training and fine-tuning framework for text generation | Jul 29, 2022 | |
Python | 2 | Generative Adversarial Networks(GANs) for training an imbalance data | Oct 23, 2023 | |
Python | 2 | Implementations of GANs in PyTorch for Pokemon image generation | Nov 20, 2021 | |
OpenEdge ABL | 4 | Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder | Jan 12, 2020 | |
OpenEdge ABL | 3 | Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder | Jun 21, 2022 | |
Python | 93 | Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch | Aug 17, 2022 | |
Jupyter Notebook | 3 | Augmenting Imbalance Text Classification Using GANs | Oct 17, 2021 | |
Jupyter Notebook | 12 | Applying GANs in improving question generation and answering | Sep 27, 2021 | |
Lua | 35 | Torch implementation of "PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION" | May 12, 2022 | |
Python | 151 | Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION | Aug 09, 2022 | |
Python | 140 | [CVPR 2021] A large-scale face image dataset that allows text-to-image generation, text-guided image manipulation, sketch-to-image … | Mar 31, 2023 | |
Python | 2 | Implementation of some types of GANs (Deep convolutional GAN - Wasserstein GAN - conditional GAN) … | Jul 01, 2023 |