conditional-gan

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znxlwm / pytorch-generative-model-collections

Collection of generative models in Pytorch version.

package collection pytorch generative-adversarial-network gan mnist infogan ebgan wgan lsgan began cgan wgan-gp dragan conditional-gan acgan fashion-mnist

Updated Apr 12, 2020
Python

GANs-in-Action / gans-in-action

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Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

deep-neural-networks ai deep-learning artificial-intelligence generative-adversarial-network gan dcgan semi-supervised-learning gans artificial-intelligence-algorithms cycle-gan conditional-gan

Updated Oct 15, 2023
Jupyter Notebook

znxlwm / pytorch-MNIST-CelebA-cGAN-cDCGAN

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Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

pytorch generative-adversarial-network mnist gender celeba cgan conditional-gan cdcgan conditional-dcgan

Updated Aug 22, 2017
Python

amanchadha / coursera-gan-specialization

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Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Updated Jul 1, 2021
Jupyter Notebook

Yangyangii / GAN-Tutorial

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Simple Implementation of many GAN models with PyTorch.

Updated Feb 22, 2023
Jupyter Notebook

gordicaleksa / pytorch-GANs

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My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

python machine-learning deep-learning pytorch gans generative-adversarial-networks deep-learning-tutorial conditional-gan dc-gan vanilla-gan gan-tutorial generative-adversarial-nets

Updated Dec 7, 2020
Python

lmxyy / sige

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[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

acceleration image-editing sparse gans conditional-gan sparse-convolution conditional-gans diffusion-models gaugan ddpm ddim progressive-distillation

Updated Mar 18, 2024
Python

zhangqianhui / Conditional-GAN

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Tensorflow implementation for Conditional Convolutional Adversarial Networks.

generative-adversarial-network image-generation conditional-gan

Updated Jun 27, 2022
Python

moein-shariatnia / Deep-Learning

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In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

machine-learning tutorial deep-learning generative-adversarial-network gan machinelearning image-colorization deeplearning paper-implementations conditional-gan

Updated Jun 11, 2024
Jupyter Notebook

znxlwm / tensorflow-MNIST-cGAN-cDCGAN

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Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

tensorflow generative-adversarial-network gan mnist cgan conditional-gan