gumbel-softmax topic

A Collection of Variational Autoencoders (VAE) in PyTorch.

AntixK

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

Schlumberger

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

cbaziotis

Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words

FranxYao

TensorFlow GAN implementation using Gumbel Softmax

tokestermw

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

sony

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

vithursant

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

EmilienDupont

Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022

mingyuyng

Code for "Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection", ECCV 2022

mingyuyng