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- gan · GitHub Topics · GitHub
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on
- GitHub - tensorflow gan: Tooling for GANs in TensorFlow
TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs) Can be installed with pip using pip install tensorflow-gan, and used with import tensorflow_gan as tfgan Well-tested examples Interactive introduction to TF-GAN in
- GitHub - eriklindernoren PyTorch-GAN: PyTorch implementations of . . .
Softmax GAN is a novel variant of Generative Adversarial Network (GAN) The key idea of Softmax GAN is to replace the classification loss in the original GAN with a softmax cross-entropy loss in the sample space of one single batch
- GitHub - Yangyangii GAN-Tutorial: Simple Implementation of many GAN . . .
Simple Implementation of many GAN models with PyTorch - Yangyangii GAN-Tutorial
- GitHub - ratschlab RGAN: Recurrent (conditional) generative adversarial . . .
Idea: Use generative adversarial networks (GANs) to generate real-valued time series, for medical purposes As the title suggests The GAN is R GAN because it uses recurrent neural networks for both encoder and decoder (specifically LSTMs)
- NVlabs denoising-diffusion-gan - GitHub
Generative denoising diffusion models typically assume that the denoising distribution can be modeled by a Gaussian distribution This assumption holds only for small denoising steps, which in practice translates to thousands of denoising steps in the synthesis process In our denoising diffusion
- GitHub - yfeng95 GAN: Resources and Implementations of Generative . . .
Wasserstein GAN stabilize the training by using Wasserstein-1 distance GAN before using JS divergence has the problem of non-overlapping, leading to mode collapse and convergence difficulty Use EM distance or Wasserstein-1 distance, so GAN solve the two problems above without particular architecture (like dcgan)
- generative-adversarial-network · GitHub Topics · GitHub
Generative adversarial networks (GAN) are a class of generative machine learning frameworks A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network
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