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[Tool] Wasserstein Auto-Encoders for Text and Image generation PyTorch Implementation

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Introduction

This repo is the Wasserstein Auto-Encoders for Text and Image Generation from this paper in Pytorch.

Feature

  • Transformer based (from scratch / from Huggingface) Wasserstein Auto-Encoder with MMD metric (WAE-MMD) for text generation
  • Transformer based (from scratch / from Huggingface) Wasserstein Auto-Encoder with adversarial metric (WAE-adv) for text generation
  • Transformer based (from scratch / from Huggingface) Wasserstein Auto-Encoder with MMD metric and gradient penalty (WAE-GP-MMD) for text generation
  • Transformer based (from scratch / from Huggingface) Wasserstein Auto-Encoder with adversarial metric and gradient penalty (WAE-GP-adv) for text generation
  • Wasserstein Auto-Encoder with adversarial metric (WAE-adv) for image generation (based on https://github.com/schelotto/Wasserstein-AutoEncoders)
  • Wasserstein Auto-Encoder with MMD metric (WAE-MMD) for image generation (based on https://github.com/schelotto/Wasserstein-AutoEncoders)

in progress...

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[Tool] Wasserstein Auto-Encoders for Text and Image generation PyTorch Implementation

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