Neural style transfer as a class in PyTorch

Last update: Jun 27, 2022

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Deep Learning pt-styletransfer

Overview

pt-styletransfer

Neural style transfer as a class in PyTorch

Based on: https://github.com/alexis-jacq/Pytorch-Tutorials

Adds:

StyleTransferNet as a class that can be imported by other scripts

VGG support (this was before pretrained VGG models were available in PyTorch)

Convenience functions for saving intermediate style & content targets for display

Convenience function for examining gram matricies as images

Auto style, content, and product image saving

matplotlib plots of losses over time & record of hyperparameters to keep track of favorable results

Owner

Tyler Kvochick

tweeter: (at)tyler_kvochick

GitHub Repository

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Neural style transfer as a class in PyTorch

Related tags

Overview

pt-styletransfer

Owner

Tyler Kvochick

A voice recognition assistant similar to amazon alexa, siri and google assistant.

This is an official implementation for "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"

RepVGG: Making VGG-style ConvNets Great Again

Source code for Zalo AI 2021 submission

Generative Adversarial Networks(GANs)

Code for intrusion detection system (IDS) development using CNN models and transfer learning

In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy

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Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

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Code & Data for Enhancing Photorealism Enhancement

generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search

Neural style transfer as a class in PyTorch

Related tags

Overview

pt-styletransfer

Owner

Tyler Kvochick

A voice recognition assistant similar to amazon alexa, siri and google assistant.

This is an official implementation for "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"

RepVGG: Making VGG-style ConvNets Great Again

Source code for Zalo AI 2021 submission

Generative Adversarial Networks(GANs)

Code for intrusion detection system (IDS) development using CNN models and transfer learning

In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy

PyTorch implementation of Neural Dual Contouring.

​ This is the Pytorch implementation of Progressive Attentional Manifold Alignment.

Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

Computer vision - fun segmentation experience using classic and deep tools :)

High-resolution networks and Segmentation Transformer for Semantic Segmentation

An official implementation of MobileStyleGAN in PyTorch

Detectorch - detectron for PyTorch

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Python Tensorflow 2 scripts for detecting objects of any class in an image without knowing their label.

This repository is for our EMNLP 2021 paper "Automated Generation of Accurate & Fluent Medical X-ray Reports"

Code & Data for Enhancing Photorealism Enhancement

generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search

This is the Pytorch implementation of Progressive Attentional Manifold Alignment.