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#

discriminator

Here are 107 public repositories matching this topic...

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

  • UpdatedNov 19, 2018
  • Jupyter Notebook

Light NodeJS rate limiting and response delaying using Redis - including Express middleware.

  • UpdatedJan 23, 2023
  • JavaScript

NN based lossless compression

  • UpdatedMar 4, 2022
  • Python

Unsupervised Domain Adaptation for Computer Vision Tasks

  • UpdatedJul 6, 2022
  • Python

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

  • UpdatedJul 27, 2021
  • Jupyter Notebook

Demonstrates the discriminator field (shared schema) based multi-tenant application using Spring Boot & Hibernate 5.

  • UpdatedFeb 25, 2020
  • Java

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

  • UpdatedNov 1, 2020
  • Jupyter Notebook

ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods

  • UpdatedSep 6, 2024
  • Python

Improved training of Wasserstein GANs

  • UpdatedJul 5, 2021
  • Python

Simple way to serialize and deserialize polymorphic types for Json.NET

  • UpdatedMar 4, 2025
  • C#
gan-depth-semantic3d

Adversarial Semantic Scene Completion from a Single Depth Image, accepted in 3DV 2018

  • UpdatedDec 7, 2018
  • Python

[CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task

  • UpdatedJun 5, 2023
  • Python

This repo contains the code that generates Digimon images using the concept of GAN

  • UpdatedAug 27, 2020
  • Jupyter Notebook

A DCGAN built on the CIFAR10 dataset using pytorch

  • UpdatedAug 20, 2019
  • Python

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…

  • UpdatedJan 26, 2022
  • Python

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

  • UpdatedMar 16, 2023
  • Jupyter Notebook

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.

  • UpdatedMay 7, 2018
  • HTML

Helps to easily JSON marshal / unmarshal tagged unions in go

  • UpdatedApr 11, 2023
  • Go

Transfer Learning on GANs

  • UpdatedJan 4, 2021
  • Jupyter Notebook

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