PytorchNeuralStyleTransfer

ST Transfer Tool

Tools and implementations for neural style transfer using PyTorch

Implementation of Neural Style Transfer in Pytorch

GitHub

421 stars
10 watching
103 forks
Language: Jupyter Notebook
last commit: almost 4 years ago

Related projects:

Repository Description Stars
zhanghang1989/pytorch-multi-style-transfer A PyTorch implementation of neural style transfer and MSG-Net models for real-time image stylization 979
alexis-jacq/pytorch-tutorials An introduction to PyTorch through the Neural-Style algorithm for image transformation 136
bengxy/fastneuralstyle This project allows users to apply the style of one image to another using deep learning techniques. 82
progamergov/neural-style-pt An algorithm to combine the content of one image with the style of another image using convolutional neural networks 840
tymokvo/pt-styletransfer Software framework implementing neural style transfer with PyTorch support 35
abhiskk/fast-neural-style A deep learning algorithm for transferring the style of one image to another. 428
leviswind/pytorch-transformer Implementation of a transformer-based translation model in PyTorch 239
lplenka/pytorch-tutorial A tutorial repository covering PyTorch fundamentals and neural network concepts through interactive Jupyter Notebooks 1
yunjey/mnist-svhn-transfer A PyTorch implementation of cycle and semi-supervised GANs for domain transfer between MNIST and SVHN datasets 432
l0sg/relational-rnn-pytorch An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling 244
ypxie/pytorch-neucom An implementation of the Differentiable Neural Computer architecture in PyTorch 94
napsternxg/pytorch-practice A collection of scripts demonstrating PyTorch's capabilities in natural language processing and machine learning tasks 197
pytorch/tnt A collection of tools and utilities for building and training neural networks with PyTorch. 1,663
kaiyangzhou/dassl.pytorch A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. 1,217
prlz77/resnext.pytorch Reproduces ResNet-V3 with PyTorch for computer vision tasks 508