wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Implements 20+ GAN variants (Vanilla, WGAN, InfoGAN, DiscoGAN, etc.) alongside VAE architectures, RBMs, and Helmholtz Machines with contrastive divergence training. Provides dual PyTorch and TensorFlow implementations for each model, enabling framework comparison and cross-framework experimentation. Automatically outputs generated samples to model-specific directories during training, supporting both image generation and representation learning workflows.
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