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27
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18
Language
Python
Last Updated
Jan 03, 2024
Similar Repos
| Repo | Language | Stars | Description | Updated At |
|---|---|---|---|---|
| Python | 2134 | Code for the paper "Improved Techniques for Training GANs" | Aug 12, 2022 | |
| Python | 2 | Implementarion of Semi-Supervised GANs from the paper "Improved Techniques for Training GANs" | Dec 17, 2022 | |
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| Python | 19 | Improved training of Wasserstein GANs | Jul 22, 2022 | |
| Python | 13 | Improved Training of Wasserstein GANs | Oct 26, 2022 | |
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| Python | 19 | Improved Training of Wasserstein GANs for Text Generation | Mar 14, 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 | 4 | Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)" | Aug 07, 2020 | |
| Jupyter Notebook | 894 | Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)" | May 08, 2023 | |
| Python | 24 | PyTorch implementation of "Improved Training of Wasserstein GANs", arxiv:1704.00028 | Jul 04, 2022 | |
| Python | 9 | Code for our paper: Improved deep learning techniques in gravitational-wave data analysis. | Apr 11, 2023 | |
| Jupyter Notebook | 54 | Code for the paper "Improving GANs Using Optimal Transport" | Jun 14, 2022 | |
| Python | 21 | Code for replication of the paper "GANs beyond divergence minimization" | Jul 10, 2021 | |
| Python | 354 | Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion | Apr 30, 2023 | |
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| Python | 69 | [CVPR 2020] Code for paper "AdversarialNAS: Adversarial Neural Architecture Search for GANs". | Jun 21, 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 | 134 | A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers. | Apr 24, 2023 | |
| Python | 8 | Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization" | May 31, 2023 | |
| Python | 6 | Code for Supervised GANs | Apr 01, 2021 | |
| Python | 70 | Tensorflow implementation for "Improved Transformer for High-Resolution GANs" (NeurIPS 2021). | Aug 03, 2022 | |
| Python | 8 | Rendering code for Megascans from "EpiGRAF: Rethinking training of 3D GANs" [NeurIPS 2022] | Nov 20, 2022 | |
| Jupyter Notebook | 5 | Two time-scale update rule for training GANs | Nov 18, 2020 | |
| Python | 31 | Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training" | Apr 04, 2023 | |
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| Jupyter Notebook | 14 | Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020 | Dec 22, 2021 | |
| Jupyter Notebook | 6 | Code for modes and training of DeepZ paper | Dec 24, 2022 | |
| Python | 23 | Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper) | Oct 23, 2021 | |
| Python | 9 | Code for the paper "Secure Distributed Training at Scale" (ICML 2022) | Jul 11, 2022 | |
| Python | 2 | Generative Adversarial Networks(GANs) for training an imbalance data | Oct 23, 2023 | |
| Python | 45 | This repository contains the code to reproduce the core results from the paper "The Numerics … | Feb 17, 2023 | |
| Python | 11 | Data and code for the paper "CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding" | Mar 17, 2023 | |
| Jupyter Notebook | 114 | Code for paper "Adversarial score matching and improved sampling for image generation" | Nov 22, 2022 | |
| Python | 32 | Supporting code to the paper "Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another … | Nov 21, 2022 | |
| Jupyter Notebook | 2 | Improving GANs Using Optimal Transport Paper implementation | Aug 28, 2022 | |
| Python | 10 | Code for the paper: Tele-Knowledge Pre-training for Fault Analysis [ICDE 2023] | Apr 27, 2023 | |
| 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 | |
| Matlab | 2 | Code for the CVPR 2018 paper "Multimodal Visual Concept Learning with Weakly Supervised Techniques" | Mar 02, 2021 | |
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