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.
Applying Dual averaging method to Saddle point problem in GAN
Tutorial for machine learning with python
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.
A PyTorch notebook and implementation of a normal linear GAN
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_Tutorials(Vanilla GAN, cGAN, DCGAN, etc...) with Pytorch
Using DCGAN to generate human faces
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