Arbitrary Style Transfer with Style-Attentional Networks
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Updated
Dec 9, 2019 - Jupyter Notebook
Arbitrary Style Transfer with Style-Attentional Networks
Fast Neural Style for Image Style Transform by Pytorch
Infinite Zoom For Style Transfer
C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).
🤖 | Learning PyTorch through official examples
A Keras Implementation of Fast-Neural-Style
Fast neural style with MobileNetV2 bottleneck blocks
TensorFlow implementation of CNN fast neural style transfer ⚡️ 🎨 🌌
Fast Neural Style Transfer implementation using PyTorch > ONNX Inference
Fast Style Transfer using Tensorflow 2
Mobile app to bring Neural Style Transfer into a more accessible format.
A style-attention-void-aware style transfer model that learns the blank-leaving information during the style transfer.
DevOps Lab Manual : starter guide to learning DevOps
Fast Neural Style Transfer implemented in Tensorflow 2
There is a fast_neural_style_transfer object by tensorflow , and now it works not good
This repository contains a pytorch implementation of an algorithm for fast neural style
Compiled models for JavaScript WebDNN GPU
Built an interactive deep learning app with Streamlit and PyTorch to apply for style transfer.
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