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DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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/)
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.
writing style transfer using cycle gan
Reproducing PARALLEL-DATA-FREE VOICE CONVERSION USING CYCLE-CONSISTENT ADVERSARIAL NETWORKS (https://arxiv.org/pdf/1711.11293.pdf)
Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
Official Implementation for the paper Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking System.
AI-enabled Interior decoration, powered by CycleGANs. Built for @NextTechLabAP's #9Hacks!
This repository is about different types of GANs in pytorch, their proper settings and training results
A novel data augmentation method based on Cycle-GAN, and a new offline handwritten signature verification system based on CapsNet.