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
Voice Conversion using Cycle GAN's For Non-Parallel Data
Hands-On Deep Learning Algorithms with Python, By Packt
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.
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.
Attention based Single Image Dehazing Using Improved CycleGAN
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
AI-enabled Interior decoration, powered by CycleGANs. Built for @NextTechLabAP's #9Hacks!
Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
A novel data augmentation method based on Cycle-GAN, and a new offline handwritten signature verification system based on CapsNet.
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