wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
MIT License
Some interesting TensorFlow tutorials for beginners.
A 1D toy example of optimizing a generative model using the WGAN-GP model.
Generative Adversarial Networks in TensorFlow 2.0
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Tooling for GANs in TensorFlow
Collection of generative models in Tensorflow
GAN-based models to flash-simulate the LHCb PID detectors
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
🐳 GAN implemented as Tensorflow 2.X
A Deep Convolutional Generative Adversarial Network to generate Faces of Anime Characters