#计算机科学#My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Train a DCGAN model on Colaboratory to generate Steam banners.
Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.
Implemented Vanilla RNN and LSTM networks, combined these with pretrained VGG-16 on ImageNet to build image captioning models on Microsoft COCO dataset. Explored use of image gradients for generating ...
#计算机科学#Implementations of GANs in PyTorch for Pokemon image generation
A very simple and plain DC GAN to generate Image Flower Pictures out of the dataset.
#计算机科学#Generation of images from NORB dataset using DC-GAN
This project explores the use of Generative Adversarial Networks (GANs) including DCGAN, ACGAN, and ProGAN to create realistic synthetic chest X-ray images. It aims to enhance medical imaging datasets...
#计算机科学#Deep Learning model that generates Pokemon images
Implement Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks(DCGAN)
#计算机科学#Generating fake images using DC-GANs
#计算机科学#DC Generative Adversarial Network for an MNIST Handwritten Digits From Scratch in Keras & tensorflow.