gumbel-softmax

There are 2 repositories under gumbel-softmax topic.

AntixK / PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
pytorch pytorch-implementation vae vae-implementation deep-learning reproducible-research paper-implementations pytorch-vae variational-autoencoders architecture beta-vae vqvae gumbel-softmax celeba-dataset iwae wae dfc-vae
Language:Python 6397
Schlumberger / joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
disentangled-representations disentanglement gumbel-softmax vae generative-models pytorch
Language:Jupyter Notebook 458
sony / sqvae
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
bayesian deep-generative-model generative-model gumbel-softmax machine-learning pytorch vae variational-autoencoder vector-quantization vq-vae
Language:Python 176
cbaziotis / seq3
Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
gumbel-softmax seq2seq seq2seq2seq sentence-compression summarization abstractive-summarization autoencoder
Language:Python 124
FranxYao / dgm_latent_bow
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
natural-language-generation deep-generative-model paraphrase-generation gumbel-softmax latent-variable-models
Language:Python 123
mingyuyng / Visual-Selective-VIO
Code for "Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection", ECCV 2022
deep-learning eccv2022 gumbel-softmax visual-inertial-odometry
Language:Python 97
mingyuyng / Dynamic_JSCC
Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022
gumbel-softmax deep-jscc adaptive-learning
Language:Python 92
tokestermw / text-gan-tensorflow
TensorFlow GAN implementation using Gumbel Softmax
artificial-intelligence tensorflow tensorflow-gan gumbel-softmax python gan deep-learning language-model
Language:Python 92
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.
deeplearning gumbel-softmax mnist tensorflow vae variational-autoencoder
Language:Python 72
EmilienDupont / vae-concrete
Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
gumbel-softmax concrete vae variational-autoencoder keras
Language:Python 51
aakhundov / tf-attend-infer-repeat
TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).
attend-infer-repeat tensorflow concrete-distribution gumbel-softmax multi-mnist computer-vision rnn
Language:Python 43
pagegitss / UAE
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
cardinality-estimation machine-learning autoregressive-models gumbel-softmax monte-carlo-integration supervised-autoregressive-models deep-learning
Language:Python 24
ratishsp / data2text-seq-plan-py
Code for TACL 2022 paper on Data-to-text Generation with Variational Sequential Planning
data-to-text-generation deep-learning gumbel-softmax latent-variable-models natural-language-generation pytorch variational-inference
Language:Python 18
AngelosNal / PyTorch-Gumbel-Sigmoid
Implementation of the Gumbel-Sigmoid distribution in PyTorch.
gumbel-distribution gumbel-softmax pytorch reparameterization-trick straight-through-gradient gumbel-sigmoid
Language:Python 14
Droliven / diverse_sampling
Official project of DiverseSampling (ACMMM2022 Paper)
cvae human-motion-prediction pytorch sampling acmmm2022 gcn accuracy diversity gaussian-distribution gumbel-softmax hinge-loss likelihood multimodality deep-learning stochastic diverse manifold variational-inference variational-autoencoder
Language:Python 14
rtst777 / TextGAN
GAN-Based Text Generation
generative-adversarial-network text-generation nature-language-process nlp deep-learning neural-networks gumbel-softmax rebar gradient-estimator
Language:Python 14
ldv1 / bbvi_spike_and_slab
Black-box spike and slab variational inference, example with linear models
machine-learning-algorithms spike-and-slab-prior regression-algorithms variational-inference gumbel-softmax sparse-regression python3 stochastic-gradient-descent
Language:Python 11
mathcom / MolBit
De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem (BIBM 2021)
de-novo-drug-design deep-learning genetic-algorithm gumbel-softmax smiles-strings variational-autoencoder
Language:Jupyter Notebook 7
hryym / Gumbel-Softmax-Implementation-with-VAE
The implementation of Gumbel softmax reparametrization trick for discrete VAE
gumbel-softmax pytorch cvae
Language:Python 6
kristpapadopoulos / categorical-variational-autoencoder
Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder
variational-autoencoder mnist categorical-variational-autoencoder gumbel-softmax categorical generative-model tensorflow-probability keras tensorflow-eager toronto krist-papadopoulos tensorflow variational-inference
Language:Python 6
thomassutter / mvhg
Python library for the differentiable hypergeometric distribution
gumbel-softmax machine-learning reparameterization continuous-relaxation
Language:Python 6
Droliven / DHMP_jittor
Jittor reimplementation of DiverseSampling (MM22)
human-motion-prediction jittor accuracy acmmm2022 cvae deep-learning diverse diversity gaussian-distribution gcn gumbel-softmax hinge-loss likelihood manifold multimodality sampling stochastic variational-autoencoder variational-inference
Language:Python 2
EdoardoBotta / Gaussian-Mixture-VAE
[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables inspired from "Categorical Reparameterization with Gumbel-Softmax".
generative-ai gumbel-softmax latent-variables variational-autoencoder variational-autoencoders variational-bayes variational-inference autoencoder inference variational
Language:Python 1
tomekkorbak / compositional-communication-via-template-transfer
Code acompanying the paper Developmentally motivated emergence of compositional communication via template transfer
emergent-communication compositionality communication multi-agent language transfer-learning signaling-games deep-learning gumbel-softmax computational-linguistics
Language:Python 0
falcondai / mnist
deep models for small image classification datasets
mnist supervised-learning tensorflow convolutional-neural-networks gumbel-softmax policy-gradient
Language:Python
ulamaca / gumbel-tricks
collections of examples of gumbel softmax tricks in optimization & deep learning
combinatorial-optimization discrete-optimization gradient-descent gumbel-softmax
Language:Python