GitHub - rcamino/multi-categorical-gans: Code for the paper \"Generating Multi-Categorical Samples with Generative Adversarial Networks\

Abstraction: PyTorch implementation of multi-categorical GAN sampling paper

Key points:

• Implements the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks" (arXiv 1807.01202)
• Python 3.6 codebase using PyTorch 1.0.0, NumPy, scikit-learn, and SciPy
• Updated to use WGAN-GP for ARAE following author updates (2018-07-25)
• Related follow-up work: "Improving Missing Value Imputation with Deep Generative Models" (arXiv 1902.10666)

Connections: Github · Generative Adversarial Networks · Discrete Distributions

Source: https://github.com/rcamino/multi-categorical-gans