PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

Last update: Dec 30, 2022

Overview

MNIST-to-SVHN and SVHN-to-MNIST

PyTorch Implementation of CycleGAN and Semi-Supervised GAN for Domain Transfer.

Prerequites

Usage

Clone the repository

$ git clone https://github.com/yunjey/mnist-svhn-transfer.git
$ cd mnist-svhn-transfer/

Download the dataset

$ chmod +x download.sh
$ ./download.sh

Train the model

1) CycleGAN

$ python main.py --use_labels=False --use_reconst_loss=True

2) SGAN

$ python main.py --use_labels=True --use_reconst_loss=False

Results

1) CycleGAN (should be re-uploaded)

From SVHN to MNIST	From MNIST to SVHN

2) SGAN

From SVHN to MNIST	From MNIST to SVHN

Owner

Yunjey Choi

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PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

Related tags

Overview

MNIST-to-SVHN and SVHN-to-MNIST

Prerequites

Usage

Clone the repository

Download the dataset

Train the model

1) CycleGAN

2) SGAN

Results

1) CycleGAN (should be re-uploaded)

2) SGAN

Owner

Yunjey Choi

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PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

Related tags

Overview

MNIST-to-SVHN and SVHN-to-MNIST

Prerequites

Usage

Clone the repository

Download the dataset

Train the model

1) CycleGAN

2) SGAN

Results

1) CycleGAN (should be re-uploaded)

2) SGAN

Owner

Yunjey Choi

Context-Sensitive Misspelling Correction of Clinical Text via Conditional Independence, CHIL 2022

Understanding Hyperdimensional Computing for Parallel Single-Pass Learning

FNet Implementation with TensorFlow & PyTorch

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

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PyTorch implementation code for the paper MixCo: Mix-up Contrastive Learning for Visual Representation

A PyTorch Implementation of ViT (Vision Transformer)

Python utility to generate filesystem content for Obsidian.

The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NIPS 2020.

Ascend your Jupyter Notebook usage

The Official TensorFlow Implementation for SPatchGAN (ICCV2021)

Source codes for Improved Few-Shot Visual Classification (CVPR 2020), Enhancing Few-Shot Image Classification with Unlabelled Examples

you can add any codes in any language by creating its respective folder (if already not available).

Accelerate Neural Net Training by Progressively Freezing Layers

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".

This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent Convolutional Networks.

This is a code repository for the paper "Graph Auto-Encoders for Financial Clustering".

Implementations of paper Controlling Directions Orthogonal to a Classifier

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