A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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Updated
Jan 6, 2021 - JavaScript
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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。
Image-to-image translation with conditional adversarial nets
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Interactive Image Generation via Generative Adversarial Networks
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Keras implementation of Deep Convolutional Generative Adversarial Networks
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
The Simplest DCGAN Implementation
Simple Implementation of many GAN models with PyTorch.
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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