Ecosyste.ms: Repos

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GitHub topics: gumbel-softmax

AntixK/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Language: Python - Size: 45.4 MB - Last synced: 27 days ago - Pushed: 7 months ago - Stars: 5,974 - Forks: 1,016

Schlumberger/joint-vae

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

Language: Jupyter Notebook - Size: 34.5 MB - Last synced: 28 days ago - Pushed: about 5 years ago - Stars: 456 - Forks: 62

kristpapadopoulos/categorical-variational-autoencoder

Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder

Language: Python - Size: 91.8 KB - Last synced: 29 days ago - Pushed: over 5 years ago - Stars: 6 - Forks: 2

rtst777/TextGAN

GAN-Based Text Generation

Language: Python - Size: 66.7 MB - Last synced: 22 days ago - Pushed: about 4 years ago - Stars: 14 - Forks: 3

falcondai/mnist

deep models for small image classification datasets

Language: Python - Size: 13.7 KB - Last synced: about 1 month ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 0

ulamaca/gumbel-tricks

collections of examples of gumbel softmax tricks in optimization & deep learning

Language: Python - Size: 17.6 KB - Last synced: 27 days ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

AngelosNal/PyTorch-Gumbel-Sigmoid

Implementation of the Gumbel-Sigmoid distribution in PyTorch.

Language: Python - Size: 2.93 KB - Last synced: 27 days ago - Pushed: almost 2 years ago - Stars: 8 - Forks: 1

sony/sqvae

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

Language: Python - Size: 158 KB - Last synced: 5 months ago - Pushed: almost 2 years ago - Stars: 152 - Forks: 17

cbaziotis/seq3

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

Language: Python - Size: 16.6 MB - Last synced: 5 months ago - Pushed: almost 2 years ago - Stars: 123 - Forks: 18

thomassutter/mvhg

Python library for the differentiable hypergeometric distribution

Language: Python - Size: 14.6 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 6 - Forks: 0

FranxYao/dgm_latent_bow

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

Language: Python - Size: 10.2 MB - Last synced: 6 months ago - Pushed: over 2 years ago - Stars: 125 - Forks: 13

mathcom/MolBit

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

Language: Jupyter Notebook - Size: 4.58 MB - Last synced: 20 days ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 2

tokestermw/text-gan-tensorflow

TensorFlow GAN implementation using Gumbel Softmax

Language: Python - Size: 1.91 MB - Last synced: 10 months ago - Pushed: about 7 years ago - Stars: 90 - Forks: 38

ratishsp/data2text-seq-plan-py

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

Language: Python - Size: 31.5 MB - Last synced: 10 months ago - Pushed: about 2 years ago - Stars: 18 - Forks: 1

pagegitss/UAE

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

Language: Python - Size: 11.3 MB - Last synced: 11 months ago - Pushed: over 2 years ago - Stars: 17 - Forks: 7

mingyuyng/Dynamic_JSCC

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

Language: Python - Size: 230 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 24 - Forks: 8

Droliven/diverse_sampling

Official project of DiverseSampling (ACMMM2022 Paper)

Language: Python - Size: 98 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 5 - Forks: 0

mingyuyng/Visual-Selective-VIO

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

Language: Python - Size: 34 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 54 - Forks: 5

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.

Language: Python - Size: 376 KB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 71 - Forks: 17

ldv1/bbvi_spike_and_slab

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

Language: Python - Size: 653 KB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 6 - Forks: 1

zongdaoming/LCBM

This is the code implementations for LCBM

Language: Python - Size: 18.6 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 2 - Forks: 0

EmilienDupont/vae-concrete

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

Language: Python - Size: 2.04 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 51 - Forks: 17

Droliven/DHMP_jittor

Jittor reimplementation of DiverseSampling (MM22)

Language: Python - Size: 95.6 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

aakhundov/tf-attend-infer-repeat

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

Language: Python - Size: 77.4 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 44 - Forks: 5

tomekkorbak/compositional-communication-via-template-transfer

Code acompanying the paper Developmentally motivated emergence of compositional communication via template transfer

Language: Python - Size: 23.3 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 2

Related Keywords
gumbel-softmax 25 deep-learning 10 variational-autoencoder 7 pytorch 6 tensorflow 5 vae 5 variational-inference 5 machine-learning 3 mnist 3 keras 2 deep-generative-model 2 acmmm2022 2 cvae 2 diverse 2 diversity 2 gaussian-distribution 2 gcn 2 hinge-loss 2 human-motion-prediction 2 stochastic 2 sampling 2 multimodality 2 manifold 2 likelihood 2 generative-model 2 accuracy 2 natural-language-generation 2 variational-autoencoders 2 latent-variable-models 2 smiles-strings 1 artificial-intelligence 1 gan 1 language-model 1 python 1 tensorflow-gan 1 data-to-text-generation 1 autoregressive-models 1 cardinality-estimation 1 monte-carlo-integration 1 supervised-autoregressive-models 1 adaptive-learning 1 deep-jscc 1 transfer-learning 1 signaling-games 1 multi-agent 1 language 1 emergent-communication 1 computational-linguistics 1 compositionality 1 communication 1 rnn 1 multi-mnist 1 concrete-distribution 1 computer-vision 1 attend-infer-repeat 1 jittor 1 concrete 1 mixture-model 1 density-mixture-network 1 stochastic-gradient-descent 1 spike-and-slab-prior 1 sparse-regression 1 regression-algorithms 1 python3 1 machine-learning-algorithms 1 deeplearning 1 visual-inertial-odometry 1 eccv2022 1 nlp 1 neural-networks 1 nature-language-process 1 gradient-estimator 1 generative-adversarial-network 1 toronto 1 tensorflow-probability 1 tensorflow-eager 1 krist-papadopoulos 1 categorical-variational-autoencoder 1 categorical 1 generative-models 1 disentanglement 1 disentangled-representations 1 wae 1 vqvae 1 vae-implementation 1 reproducible-research 1 pytorch-vae 1 pytorch-implementation 1 paper-implementations 1 iwae 1 dfc-vae 1 celeba-dataset 1 beta-vae 1 architecture 1 genetic-algorithm 1 de-novo-drug-design 1 paraphrase-generation 1 reparameterization 1 continuous-relaxation 1 summarization 1