Keras implementations of Generative Adversarial Networks.
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Jan 27, 2021 - Python
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generative-adversarial-networks
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
Here are 210 public repositories matching this topic...
Collection of generative models in Tensorflow
tensorflow
gan
mnist
infogan
generative-model
vae
ebgan
generative-adversarial-networks
wgan
cvae
lsgan
variational-autoencoder
began
cgan
wgan-gp
generative-models
dragan
acgan
fashion-mnist
improved-wgan
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Jul 21, 2018 - Python
Learning Chinese Character style with conditional GAN
machine-learning
deep-neural-networks
deep-learning
tensorflow
style-transfer
deeplearning
chinese-characters
pix2pix
generative-adversarial-networks
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Aug 9, 2019 - Python
Deep Learning in Haskell
machine-learning
haskell
deep-neural-networks
deep-learning
convolutional-neural-networks
generative-adversarial-networks
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Mar 15, 2021 - Haskell
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
computer-vision
deep-learning
image-processing
gan
convolutional-neural-networks
generative-adversarial-networks
image-enhancement
dped
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Jun 14, 2020 - Python
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
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Jul 4, 2021 - Python
Generative Adversarial Networks (GANs) resources sorted by citations
generative-model
gans
adversarial-networks
generative-adversarial-networks
research-paper
frameworks
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May 11, 2019
Generative Adversarial Transformers
transformers
attention
image-generation
gans
generative-adversarial-networks
compositionality
scene-generation
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Jul 20, 2021 - Python
Speech Enhancement Generative Adversarial Network in TensorFlow
deep-neural-networks
deep-learning
tensorflow
speech
gan
generative-model
generative-adversarial-networks
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Jan 14, 2021 - Python
Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" https://arxiv.org/abs/2104.02699
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Jul 23, 2021 - Python
CVPR 2019: "Pluralistic Image Completion"
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Sep 20, 2019 - Python
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
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Jun 10, 2021 - Python
[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
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Jun 16, 2021 - Python
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
python
machine-learning
pytorch
gan
dcgan
reproducibility
gans
generative-adversarial-networks
cvpr
cgan
wgan-gp
generative-models
ssgan
sngan
cvpr2020
sngan-projection
cvpr20
infomax-gan
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Jun 5, 2021 - Python
Implementation of Papers on Adversarial Examples
visualization
opencv
deep-neural-networks
deep-learning
paper
python3
pytorch
adversarial-networks
generative-adversarial-networks
adversarial-learning
adversarial-examples
trackbar
fgsm
adversarial-attacks
adversarial-images
perturbations
adversarial-defence
adversarial-perturbations
random-perturbations
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Jan 19, 2019 - 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.
python
machine-learning
deep-learning
pytorch
gans
generative-adversarial-networks
deep-learning-tutorial
conditional-gan
dc-gan
vanilla-gan
gan-tutorial
generative-adversarial-nets
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Dec 7, 2020 - Python
[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics
deep-learning
pytorch
gans
generative-adversarial-networks
3d-vision
disentangled-representations
3d-sdn
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Dec 20, 2018 - Python
Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)
computer-vision
deep-learning
pytorch
generative-adversarial-networks
3d
3d-reconstruction
3d-shapes
single-image
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Nov 3, 2020 - Python
DGMs for NLP. A roadmap.
natural-language-processing
parsing
text-generation
generative-text
generative-model
graphical-models
mcmc
generative-adversarial-networks
variational-inference
markov-chain-monte-carlo
latent-variable-models
normalizing-flows
structured-prediction
discrete-structures
generative-models
variational-autoencoders
approximate-inference
gradient-estimation
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May 11, 2021
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
keras
generative-adversarial-networks
keras-tensorflow
srgan
photo-realistic-super-resolution
image-super-resolution
single-image-super-resolution
vgg-loss
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Apr 19, 2019 - Python
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
machine-learning
computer-vision
pytorch
image-compression
generative-adversarial-networks
entropy-coding
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Jun 8, 2021 - Python
This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !
gan
pix2pix
generative-adversarial-networks
pose-estimation
openpose
face2face
densepose
pose2pose
vid2vid
alphapose
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Oct 24, 2018 - Python
Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754
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May 29, 2021 - Python
Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'
deep-learning
keras
image-processing
neural-networks
unit
generative-adversarial-networks
cyclegan
image-to-image-translation
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Oct 29, 2019 - Python
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
raspberry-pi
opencv
iot
computer-vision
tensorflow
keras
coco
aws-ec2
ec2-instance
aws-iot
opencv-library
generative-adversarial-networks
raspberry-pi-3
opencv3
cyclegan
haarcascade
sagemaker
yolo-model
ubuntucore
aws-sagemaker
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Feb 3, 2021 - Jupyter Notebook
SteganoGAN is a tool for creating steganographic images using adversarial training.
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Aug 13, 2020 - Python
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
deep-learning
tensorflow
keras
jupyter-notebook
generative-adversarial-network
gan
mnist
dcgan
mnist-dataset
gans
generative-adversarial-networks
wgan
cifar10
lsgan
cgan
cifar-10
cgans
ccgan
ccgans
lsgans
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Jun 29, 2020 - Jupyter Notebook
Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
machine-learning
computer-vision
deep-learning
pytorch
gan
image-generation
multi-modal
generative-adversarial-networks
oasis
image-to-image-translation
bcai
semantic-image-synthesis
iclr2021
label-to-image-translation
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May 8, 2021 - Python
Official PyTorch implementation of GDWCT (CVPR 2019, oral)
computer-vision
pytorch
gan
gans
generative-adversarial-networks
image-translation
image-to-image-translation
gdwct
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Nov 13, 2019 - Python
This needs to be done in 2 parts:
We don't need to expose all the functions. Some functions do nothing fancy and they need to be removed and the entire computation can be performed inside the
forwardfunction.