All Projects → bb-in-hoodie → MNIST-invert-color

bb-in-hoodie / MNIST-invert-color

Licence: other
Invert the color of MNIST images with PyTorch

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to MNIST-invert-color

Generative adversarial networks 101
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (+961.54%)
Mutual labels:  generative-adversarial-network, gan, mnist, generative-adversarial-networks
Tsit
[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
Stars: ✭ 141 (+984.62%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Focal Frequency Loss
Focal Frequency Loss for Generative Models
Stars: ✭ 141 (+984.62%)
Mutual labels:  generative-adversarial-network, gan, image-generation
GAN-Project-2018
GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (+61.54%)
Mutual labels:  generative-adversarial-network, gan, generative-adversarial-networks
Semantic Pyramid for Image Generation
PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].
Stars: ✭ 45 (+246.15%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Unetgan
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Stars: ✭ 139 (+969.23%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Tensorflow Mnist Gan Dcgan
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Stars: ✭ 163 (+1153.85%)
Mutual labels:  generative-adversarial-network, gan, mnist
Gpnd
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (+761.54%)
Mutual labels:  generative-adversarial-network, gan, mnist
Arbitrary Text To Image Papers
A collection of arbitrary text to image papers with code (constantly updating)
Stars: ✭ 196 (+1407.69%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Pytorch Cyclegan And Pix2pix
Image-to-Image Translation in PyTorch
Stars: ✭ 16,477 (+126646.15%)
Mutual labels:  generative-adversarial-network, gan, image-generation
ADL2019
Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (+53.85%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Cyclegan
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+84000%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Mlds2018spring
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (+853.85%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Tensorflow Mnist Cgan Cdcgan
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Stars: ✭ 122 (+838.46%)
Mutual labels:  generative-adversarial-network, gan, mnist
Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Stars: ✭ 180 (+1284.62%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Tensorflow Infogan
🎎 InfoGAN: Interpretable Representation Learning
Stars: ✭ 149 (+1046.15%)
Mutual labels:  generative-adversarial-network, gan, mnist
Ganspace
Discovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (+9315.38%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Lggan
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (+646.15%)
Mutual labels:  generative-adversarial-network, gan, image-generation
Pytorch Generative Model Collections
Collection of generative models in Pytorch version.
Stars: ✭ 2,296 (+17561.54%)
Mutual labels:  generative-adversarial-network, gan, mnist
gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Stars: ✭ 134 (+930.77%)
Mutual labels:  generative-adversarial-network, mnist, generative-adversarial-networks

MNIST Invert Color

Inverting the color of MNIST images from black to white and white to black using CycleGAN implemented with PyTorch.


Prerequites

  • Python 3.6
  • PyTorch 0.1.12 (PyTorch is currently available only on Linux and OSX)
  • The code has been written on Linux (ubuntu 16.04 LTS) system

How to

1. Install Python and PyTorch (from the link above or on your own way)

2. Run the command below on Terminal

$ python CycleGAN_MNIST_Invert.py

Results

1) Black Background -> White Background

Number of Iteration Original Image Generated (Inverted) Image
0 alt text alt text
15 alt text alt text
300 alt text alt text

2) White Background -> Black Background

Number of Iteration Original Image Generated (Inverted) Image
0 alt text alt text
15 alt text alt text
300 alt text alt text
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].