A Collection of Variational Autoencoders (VAE) in PyTorch.
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Updated
Mar 21, 2025 - Python
A Collection of Variational Autoencoders (VAE) in PyTorch.
An advanced, open-source LSPosed module for WhatsApp. Features UI customization, aggressive Anti-Meta AI, privacy enhancements, and native settings integration. Written entirely from scratch.
Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow
[Tool] Wasserstein Auto-Encoders for Text and Image generation PyTorch Implementation
Music generation with Wasserstein Autoencoders
Wait An Event (Grey Music Cognition) https://wae.github.io/wae
Cisco WAN Automation Engine (WAE) scripts
Wasserstein Autoencoders implementation in Tensorflow 2
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