Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
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Updated
Nov 19, 2018 - Jupyter Notebook
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Light NodeJS rate limiting and response delaying using Redis - including Express middleware.
NN based lossless compression
Improving MMD-GAN training with repulsive loss function
Unsupervised Domain Adaptation for Computer Vision Tasks
Demonstrates the discriminator field (shared schema) based multi-tenant application using Spring Boot & Hibernate 5.
This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)
Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
Adversarial Semantic Scene Completion from a Single Depth Image, accepted in 3DV 2018
Simple way to serialize and deserialize polymorphic types for Json.NET
This repo contains the code that generates Digimon images using the concept of GAN
Improved training of Wasserstein GANs
[CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task
A DCGAN built on the CIFAR10 dataset using pytorch
We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.
Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.
In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given ta…
Changes your discord username to get a different discriminator
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