a Pytorch implementation of neural style mixer
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Updated
Oct 6, 2018 - Python
a Pytorch implementation of neural style mixer
CPP OpenGL UI framework, used to build a style transfer app.
My university final year project 'An Implementation of Multiple Improvements to Neural Style Transfer.'
Analysis of different types of common Normalization schemes in Deep Learning
[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization
[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
This is an TensorFlow Implementation of Ooze - Handwritten Text Generator by Akshat Surolia, This is an Image to Image translation approach to generate realistic hand written sentences by taking text as an input.
Time Series prediction using Nbeats
Layer normalization with einops semantics.
Image style transfer using deep learning
The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"
Implementation of RevIN is based on TF2.Keras and PyTorch.
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
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