Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Implementation of RevIN is based on TF2.Keras and PyTorch.

The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"

Layer normalization with einops semantics.

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.

Analysis of different types of common Normalization schemes in Deep Learning

a Pytorch implementation of neural style mixer

Image style transfer using deep learning

Time Series prediction using Nbeats

My university final year project 'An Implementation of Multiple Improvements to Neural Style Transfer.'

A DL project that implements Neural Style Transfer on images using a pretrained model, a VGG19-based architecture, and a Feed-Forward architecture after Johnson et al. (2016). The different models utilize custom TensorFlow training loops, cost functions and layers (InstanceNormalization). Various tendencies of such architectures are discussed.

CPP OpenGL UI framework, used to build a style transfer app.