Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Updated
Oct 15, 2023 - Jupyter Notebook
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
Hands-On Deep Learning Algorithms with Python, By Packt
Voice Conversion using Cycle GAN's For Non-Parallel Data
PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
Translating Synthetic RIRs to Real RIRs
Developing an image editing application to edit images to have a desired attribute using Generative Adversarial Networks(DCGAN and CycleGAN) (https://tandon-a.github.io/Image-Editing-using-GAN/)
Pixel-level domain adaptation: A study case on generating parking-slot image samples.
Attention based Single Image Dehazing Using Improved CycleGAN
This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.
Reproducing PARALLEL-DATA-FREE VOICE CONVERSION USING CYCLE-CONSISTENT ADVERSARIAL NETWORKS (https://arxiv.org/pdf/1711.11293.pdf)
writing style transfer using cycle gan
Official Implementation for the paper Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking System.
This repository is about different types of GANs in pytorch, their proper settings and training results
Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
AI-enabled Interior decoration, powered by CycleGANs. Built for @NextTechLabAP's #9Hacks!
A novel data augmentation method based on Cycle-GAN, and a new offline handwritten signature verification system based on CapsNet.
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