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gumbel-softmax

Here are 27 public repositories matching this topic...

AntixK / PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

deep-learning reproducible-research architecture pytorch vae beta-vae paper-implementations gumbel-softmax celeba-dataset wae variational-autoencoders pytorch-implementation dfc-vae iwae vqvae vae-implementation pytorch-vae

Updated Jun 13, 2024
Python

Schlumberger / joint-vae

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

pytorch vae gumbel-softmax generative-models disentanglement disentangled-representations

Updated Apr 2, 2019
Jupyter Notebook

sony / sqvae

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

machine-learning pytorch generative-model vae bayesian variational-autoencoder vector-quantization gumbel-softmax vq-vae deep-generative-model

Updated Jul 20, 2022
Python

cbaziotis / seq3

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

autoencoder summarization seq2seq gumbel-softmax abstractive-summarization sentence-compression seq2seq2seq

Updated Jun 21, 2022
Python

FranxYao / dgm_latent_bow

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

natural-language-generation latent-variable-models gumbel-softmax paraphrase-generation deep-generative-model

Updated Oct 9, 2021
Python

mingyuyng / Dynamic_JSCC

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

adaptive-learning gumbel-softmax deep-jscc

Updated Sep 21, 2022
Python

mingyuyng / Visual-Selective-VIO

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

deep-learning visual-inertial-odometry gumbel-softmax eccv2022

Updated Oct 19, 2022
Python

tokestermw / text-gan-tensorflow

TensorFlow GAN implementation using Gumbel Softmax

python deep-learning tensorflow artificial-intelligence gan language-model tensorflow-gan gumbel-softmax

Updated Apr 11, 2017
Python

vithursant / VAE-Gumbel-Softmax

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

tensorflow mnist vae deeplearning variational-autoencoder gumbel-softmax

Updated Apr 9, 2018
Python

EmilienDupont / vae-concrete

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

keras vae concrete variational-autoencoder gumbel-softmax

Updated Sep 21, 2017
Python

aakhundov / tf-attend-infer-repeat

TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).

computer-vision tensorflow rnn gumbel-softmax attend-infer-repeat concrete-distribution multi-mnist

Updated Oct 29, 2017
Python

pagegitss / UAE

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

machine-learning deep-learning monte-carlo-integration cardinality-estimation gumbel-softmax autoregressive-models supervised-autoregressive-models

Updated Oct 8, 2021
Python

relaxit

intsystems / relaxit

[BMM 24-25] "Just Relax It": Implementation of different relaxation methods

library pytorch relaxation reinforce pyro gumbel-softmax edu-project discrete-variables logit-normal straight-through-gradient invertible-gaussian

Updated Dec 12, 2024
Jupyter Notebook

ratishsp / data2text-seq-plan-py

Code for TACL 2022 paper on Data-to-text Generation with Variational Sequential Planning

deep-learning pytorch natural-language-generation variational-inference latent-variable-models gumbel-softmax data-to-text-generation

Updated Apr 25, 2022
Python

AngelosNal / PyTorch-Gumbel-Sigmoid

Implementation of the Gumbel-Sigmoid distribution in PyTorch.

pytorch gumbel-softmax gumbel-distribution reparameterization-trick straight-through-gradient gumbel-sigmoid

Updated Jul 22, 2022
Python

Droliven / diverse_sampling

Official project of DiverseSampling (ACMMM2022 Paper)

diversity deep-learning pytorch stochastic accuracy sampling manifold multimodality variational-inference likelihood cvae gcn gaussian-distribution variational-autoencoder gumbel-softmax diverse hinge-loss human-motion-prediction acmmm2022

Updated Feb 25, 2023
Python

rtst777 / TextGAN

GAN-Based Text Generation

nlp deep-learning text-generation generative-adversarial-network neural-networks rebar gumbel-softmax nature-language-process gradient-estimator

Updated Apr 19, 2020
Python

ldv1 / bbvi_spike_and_slab

Black-box spike and slab variational inference, example with linear models

machine-learning-algorithms python3 variational-inference sparse-regression stochastic-gradient-descent gumbel-softmax regression-algorithms spike-and-slab-prior

Updated Jun 7, 2019
Python

mathcom / MolBit

De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem (BIBM 2021)

deep-learning genetic-algorithm variational-autoencoder gumbel-softmax smiles-strings de-novo-drug-design

Updated Jun 10, 2022
Jupyter Notebook

thomassutter / mvhg

Python library for the differentiable hypergeometric distribution

machine-learning gumbel-softmax reparameterization continuous-relaxation

Updated Feb 13, 2024
Python

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