neural-style-transfer

PyTorch implementation of neural style transfer algorithm

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

Framework for Neural Style Transfer (NST) built upon PyTorch

[CVPR'20] PyTorch code for our paper "Collaborative Distillation for Ultra-Resolution Universal Style Transfer"

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

Unity Post Processing with Convolution Neural Network

Computer vision and Deep learning in SRU

Neural Style Transfer for Fluids

Neural Style Transfer (pytorch ver.)

PyTorch implementation of "Universal Style Transfer via Feature Trasforms"

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.

MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer

Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017

This is PyTorch Implementation of Neural Style Transfer Algorithm which is modified for Audios.

ncnnRay++ is a CMake based integration of raylib and the very popular Tencent ncnn Deep Learning library. ncnn is written in C++ and designed (but not only) for edge computing devices. The project depends on the Vulkan SDK (Vulakn is Khronos' API for Graphics and Compute on GPUs).

Generating Art with Convolutional Neural Networks

Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized and segmented videos.

An implementation of "A Neural Algorithm of Artistic Style" in Keras

Demonstration implementations of neural network image processing algorithms

Fast Neural Style Transfer in Julia

Infinite Zoom For Style Transfer

PyTorch implementation of "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

An implementation of the paper "A Neural Algorithm of Artistic Style"

🧑🏻‍🎤 Generate geometry-aware face caricatures using Style Transfer

Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai