Here are
103 public repositories
matching this topic...
Collection of generative models in Pytorch version.
Updated
Apr 12, 2020
Python
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Updated
Sep 24, 2020
Jupyter Notebook
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Updated
Aug 22, 2017
Python
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Updated
Dec 7, 2020
Python
Simple Implementation of many GAN models with PyTorch.
Updated
Nov 22, 2019
Jupyter Notebook
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Updated
Jul 1, 2021
Jupyter Notebook
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
Updated
Jun 27, 2022
Python
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Updated
Aug 10, 2017
Python
Pytorch implementation of pix2pix for various datasets.
Updated
Feb 16, 2021
Python
Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)
Updated
May 29, 2019
Python
In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
Updated
Jan 8, 2022
Jupyter Notebook
Generative Adversarial Networks in TensorFlow 2.0
Updated
May 26, 2022
Python
Text to Image Synthesis using Generative Adversarial Networks
Updated
May 11, 2019
Python
Updated
Oct 24, 2019
Python
The implementation of 'Image synthesis via semantic composition', ICCV2021.
Updated
Feb 9, 2022
Python
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
Updated
Jun 8, 2022
Python
🎨 Anime generation with GANs.
Updated
May 12, 2022
Python
Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow
Updated
Dec 12, 2018
Python
PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
Updated
Aug 28, 2017
Python
Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks
Updated
Dec 5, 2020
Python
Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
Updated
Jan 24, 2020
Jupyter Notebook
This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.
Updated
Mar 18, 2021
Jupyter Notebook
Deep learning works for ADLxMLDS (CSIE 5431) in NTU
Updated
Nov 7, 2018
Python
Conditioning of three-dimensional geological and pore scale generative adversarial networks
Updated
Aug 2, 2019
Jupyter Notebook
Implementation of paper everybody dance now for Deep learning course project
Updated
Nov 8, 2021
Jupyter Notebook
An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning.
Updated
Jun 26, 2019
Python
Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
Updated
Mar 22, 2022
Python
Conversion of sketches to photos using GANs.
Updated
Dec 12, 2017
Jupyter Notebook
Updated
Jun 22, 2022
Jupyter Notebook
Mining GOLD Samples for Conditional GANs (NeurIPS 2019)
Updated
Oct 22, 2019
Python
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