Topic: discriminator Goto Github
Some thing interesting about discriminator
Some thing interesting about discriminator
discriminator,This repository is to demonstrate how we can create new images of a distribution of images with a Generative Adversarial Network (GAN)
User: 0xpranjal
discriminator,Creating artificial images with a Generative Adversarial Network written in PyTorch.
User: alex-lechner
discriminator,This code implements an example of a CGAN deep learning model using PyTorch. The architecture used for the generator and discriminator is MLP (multi layer perceptron) network. This model is trained with MNIST dataset and finally it can generate images of numbers 0 to 9 according to the label we specify for it.
User: amir-hofo
discriminator,Generating super-resolution images using GANs
User: apurbasengupta
discriminator,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.
User: ayansengupta17
discriminator,AI that generates human faces which have never been seen before. The future is now 😁
User: badass-techie
discriminator,🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
User: braindotai
Home Page: https://arxiv.org/abs/1809.00219
discriminator,Helps to easily JSON marshal / unmarshal tagged unions in go
User: byrnedo
discriminator,Generate fake faces using generative adversarial network
User: chibanimohamed
discriminator,Transfer Learning on GANs
User: ck44liu
discriminator,This repo contains the code that generates Digimon images using the concept of GAN
User: deathreaper0965
discriminator,Code for Curriculum based Dropout Discriminator for Domain Adaptation(CD3A), BMVC, 2019
Organization: delta-lab-iitk
Home Page: https://delta-lab-iitk.github.io/CD3A//
discriminator,Simple way to serialize and deserialize polymorphic types for Json.NET
User: dmitry-bym
discriminator,DMLLTDetectorPulseDiscriminator - A supervised machine learning approach for shape-sensitive detector pulse discrimination in lifetime spectroscopy applications
User: dpscience
discriminator,Changes your discord username to get a different discriminator
User: ducc
discriminator,Light NodeJS rate limiting and response delaying using Redis - including Express middleware.
User: eddiejibson
Home Page: https://limitrr.js.org
discriminator,[CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task
User: ezioby
Home Page: https://ezioby.github.io/glead/
discriminator,An unofficial pytorch implementation for OGAN
User: glassywing
discriminator,This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)
User: ibrahimjelliti
discriminator,Demonstration of using polymorphic JSON types with golang.
User: karaatanassov
discriminator,Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.
User: kochlisgit
discriminator,Implementation of Deep Convolutional Generative Adversarial Networks in Pytorch and Tensorflow
User: kpandey008
discriminator,Implementation of Wasserstein Generative Adversarial Networks using Tensorflow
User: kpandey008
discriminator,Adversarial Attack using a DCGAN
User: ksuryateja
discriminator,A DCGAN built on the CIFAR10 dataset using pytorch
User: ksuryateja
discriminator,A DCGAN built on the MNIST dataset using pytorch
User: ksuryateja
discriminator,This is a new alogorithm named WGAN, an alternative to traditional GAN training!
User: lornatang
discriminator,Improved training of Wasserstein GANs
User: lornatang
discriminator,Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.
User: martysai
Home Page: https://pypi.org/project/artificial-detection/
discriminator,The main objective of this repository is to become familiar with the task of Domain Adaptation applied to the Real-time Semantic Segmentation networks.
User: micolrosini
discriminator,Unsupervised Domain Adaptation for Computer Vision Tasks
Organization: microsoft
Home Page: https://arxiv.org/abs/2106.10812
discriminator,NN based lossless compression
User: mohit1997
discriminator,AI-enabled Interior decoration, powered by CycleGANs. Built for @NextTechLabAP's #9Hacks!
Organization: nexttechlabap
discriminator,Goal is to learn all concepts of Generative adversarial networks
User: pawangeek
discriminator,Generic worst-case-linear-time sorting and partitioning algorithms based on discriminators
User: pthariensflame
Home Page: https://crates.io/crates/discrimination
discriminator,Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
User: rahulbhalley
Home Page: https://arxiv.org/abs/1710.10196
discriminator,This project aims at using a Deep Convolutional Generative Adversarial network for the purpose of generating image faces using the CelebFaces dataset.
User: raj-7799
discriminator,Implementation of Capsule Network architecture in GANs using MNIST dataset
User: rajatha94
discriminator,Demonstrates the discriminator field (shared schema) based multi-tenant application using Spring Boot & Hibernate 5.
User: ramsrib
discriminator,Improving MMD-GAN training with repulsive loss function
User: richardwth
discriminator,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
User: shantanu1109
discriminator,Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
User: shayneobrien
discriminator,
User: smit25
discriminator,A Generative Adversarial Network (GAN) trained on the MNIST dataset, capable of creating fake but realistic looking MNIST digit images that appear to be drawn from the original dataset.
User: sssingh
discriminator,Pytorch implementation of official DCGAN.
User: tanishqgautam
discriminator,I have prepared a Deep Convolutional Generative Adversarial Networks here.
User: thinamxx
discriminator,Generative Adversarial Nets
User: tmulc18
discriminator,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 task, but the architecture was powerful enough to understand the task that has been given to solve and produce considerably good results.
User: victor369basu
discriminator,Adversarial Semantic Scene Completion from a Single Depth Image, accepted in 3DV 2018
User: wangyida
Home Page: https://wangyida.github.io/posts/2016/youtube/
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