General Adversarial Networks
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Updated
Aug 4, 2017 - Python
General Adversarial Networks
Progressively growing of GANs Pytorch Implementation
A modern PyTorch implementation of SRGAN
A Generative Adverserial Network for modelling any distribution.
Collection of generative models in Pytorch version.
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
CycleGAN with PyTorch
Basic code for Generative Adversarial Networks (GANs) in PyTorch
An Auxiliary Classifier GAN (ACGAN) in pytorch to generate MNIST digits.
Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, un…
Pytorch Implementation Of Deep Convolutional Generative Adversarial Networks
GAN implementation of some datasets like CIFAR10, MNIST etc
A Pytorch based toy project for caption to image generator using th GAN-CLS. Flickr-30K has been used for the image generation.
Adversarial Attack using a DCGAN
Implement Human Pose Transfer papers with Pytorch
PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Pytorch implementation of a Conditional WGAN with Gradient Penalty
Improved Training of Wasserstein GANs
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