Dcgan Pytorch
PyTorch Implementation of DCGAN trained on the CelebA dataset.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Dcgan Tensorflow | 6,761 | 3 years ago | 183 | mit | JavaScript | |||||
| A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks" | ||||||||||
| Tf.gans Comparison | 474 | 6 years ago | 2 | Python | ||||||
| Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking | ||||||||||
| Pycadl | 355 | 1 | 4 years ago | 11 | March 06, 2018 | 4 | other | Python | ||
| Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow" | ||||||||||
| Pytorch Mnist Celeba Gan Dcgan | 302 | 5 years ago | 9 | Python | ||||||
| Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets | ||||||||||
| Gan Tutorial | 190 | 4 years ago | Jupyter Notebook | |||||||
| Simple Implementation of many GAN models with PyTorch. | ||||||||||
| Deep Learning | 128 | 6 years ago | 2 | mit | Jupyter Notebook | |||||
| Deep Learning Application Examples | ||||||||||
| Tf Exercise Gan | 109 | 6 years ago | 1 | mit | Python | |||||
| Tensorflow implementation of different GANs and their comparisions | ||||||||||
| Dcgan_tensorflow | 79 | 7 years ago | 2 | Python | ||||||
| Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS" | ||||||||||
| Semantic Image Inpainting | 72 | 6 years ago | 4 | Python | ||||||
| Tensorflow implementation of Semantic Image Inpainting with Deep Generative Models | ||||||||||
| Fake Face Images Detection Tensorflow | 71 | 2 years ago | 2 | gpl-3.0 | Jupyter Notebook | |||||
| Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss. | ||||||||||
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Python
Deep Learning
Pytorch
Computer Vision
Generative Adversarial Network
Convolution
Generative Model
Adversarial Networks
Celeba
Dcgan