ermongroup/streamline-vi-csp

Language: C - Size: 2.32 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 2

ermongroup/lagvae

Lagrangian VAE

Language: Python - Size: 58.6 KB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 28 - Forks: 5

pawni/BayesByHypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 65 - Forks: 16

ermongroup/Generalized-PixelVAE Fork of openai/pixel-cnn

PixelVAE with or without regularization

Language: Python - Size: 988 KB - Last synced at: 9 months ago - Pushed at: about 8 years ago - Stars: 66 - Forks: 11

ferrine/gelato

Bayesian dessert for Lasagne

Language: Python - Size: 346 KB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 84 - Forks: 4

addtt/attend-infer-repeat-pytorch

Attend Infer Repeat (AIR) in PyTorch

Language: Python - Size: 19 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 20 - Forks: 3

hruffieux/locus

locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression

Language: R - Size: 1.03 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 2

clberube/ip-vae

PyTorch implementation of the time-domain induced polarization variational autoencoder

Language: Python - Size: 483 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1

beginaid/GMM-EM-VB

This repository is for sharing the scripts of EM algorithm and variational bayes.

Language: Python - Size: 116 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 1

LukasMut/VICE

Variational Interpretable Concept Embeddings

Language: Python - Size: 29.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 4

AB20CS/Missing-Data-Project

An evaluation of the suboptimality of various imputation methods when applied to handle various mechanisms of missingness

Language: Python - Size: 97.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

guxiaosi/Variational-Bayes

Variational Bayes, Natural Gradient, Reparameterization Trick, Conjugate Gradient, Quasi-Newton Gradient, Belief propagation, AMP

Language: Jupyter Notebook - Size: 44.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

robert-giaquinto/gradient-boosted-normalizing-flows

We got a stew going!

Language: Python - Size: 54.4 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 3

FedericoVasile1/bayesian-cnn

Comparison of a network implemented via Variational Inference with the same network implemented via Monte Carlo Dropout

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ibarrond/VariationalAutoencoders

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Language: Jupyter Notebook - Size: 1.71 GB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 16

yvesantonio/Data_Assimilation

Advanced Data Assimilation Algorithms and Methods

Language: MATLAB - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

zhiming-xu/vae-lstm

Implementation of AAAI' 18 paper: A Deep Generative Framework for Paraphrase Generation

Language: Python - Size: 84 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

jswu18/gvi-gaussian-process

Generalised Variational Inference (GVI) for Gaussian Processes in JAX

Language: Python - Size: 175 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Tom-Ryder/VIforSDEs

A variational method for fast, approximate inference for stochastic differential equations.

Language: Python - Size: 1.54 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 42 - Forks: 11

zhihanyang2022/gradient-gmm

Finite mixture of full-rank Gaussians for density estimation & variational inference.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mkomod/survival.svb

Variational Bayes for High-Dimensional Survival Analysis https://arxiv.org/abs/2112.10270

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Madhav-Kanda/AutoDiff-Inference

AutoDiff-Inference: Automatic Differentiation Inference. This Repository combines ADVI's change of variable power with Laplace Approximation to provide better inference for constrained parameters. Work done as a part of development of Bijax

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ex4sperans/variational-inference-with-normalizing-flows

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

Language: Python - Size: 244 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 206 - Forks: 38

giladturok/fine-mapping

Knowles Lab Research: determine which genetic variants cause a phenotype with non-binary functional annotations

Language: Python - Size: 78.2 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

snowkylin/rnn-vae

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

Language: Python - Size: 3.27 MB - Last synced at: 25 days ago - Pushed at: over 8 years ago - Stars: 39 - Forks: 12

gabrielecastellano/early-exit-distillation Fork of yoshitomo-matsubara/head-network-distillation

Early Classification in Split Computing with Regularized Bottlenecks

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VahidHeidari/StrBEAM

Population Structured Bayesian Epistasis Association Mapping

Language: Python - Size: 651 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

sungyubkim/DVIB

A pytorch implementation of DVIB(Deep Variational Information Bottleneck)

Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1

dangitstam/topic-rnn 📦

Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.

Language: Python - Size: 1.06 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 52 - Forks: 10

kgkeklikci/Normalizing-Flows

Language: Jupyter Notebook - Size: 10 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

ahq1993/inverse_rl

Adversarial Imitation Via Variational Inverse Reinforcement Learning

Language: Python - Size: 53.7 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 90 - Forks: 11

dilinwang820/adaptive-f-divergence

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Language: Python - Size: 563 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 20 - Forks: 3

inurutdinov/eaa

A Generative Probabilistic Model for NLP

Language: Python - Size: 149 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 7

fandulu/SsVGMM

A semi-supervised variational Gaussian mixture model

Language: MATLAB - Size: 8.65 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 3

GiovanniPasserello/SHGP

Sparse Heteroscedastic Gaussian Processes

Language: Python - Size: 4.75 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

EhtashamBillah/Acute-Lymphoblastic-Leukemia-cell-classification-using-Bayesian-Convolutional-Neural-Networks

In this project, we deploy the Bayesian Convolution Neural Networks (BCNN), proposed by Gal and Ghahramani [2015] to classify microscopic images of blood samples (lymphocyte cells). The data contains 260 microscopic images of cancerous and non-cancerous lymphocyte cells. We experiment with different network structures to obtain the model that return lowest error rate in classifying the images. We estimate the uncertainty for the predictions made by the models which in turn can assist a doctor in better decision making. The Stochastic Regularization Technique (SRT), popularly known as Dropout is utilized in the BCNN structure to obtain the Bayesian interpretation.

Language: R - Size: 138 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 4

probcomp/GenPyTorch.jl

Gen plugin to allow PyTorch computations to be used as Gen generative functions.

Language: Julia - Size: 41 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

1Konny/VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

Language: Python - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 147 - Forks: 22

emanuelealiverti/svilf

Stratified stochastic variational inference for network factor models

Language: C++ - Size: 4.28 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

ivonajdenkoska/variational-xray-report-gen

Official code repository for "Variational Topic Inference for Chest X-Ray Report Generation" (Oral at MICCAI 2021).

Language: Python - Size: 1.54 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 4

simonkamronn/kvae

Kalman Variational Auto-Encoder

Language: Python - Size: 384 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 130 - Forks: 34

seraphlabs-ca/SentenceMIM-demo

This repo contains code to reproduce some of the results presented in the paper "SentenceMIM: A Latent Variable Language Model"

Language: Python - Size: 2.08 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 29 - Forks: 4

gutmanngroup/VNCE Fork of benrhodes26/VNCE

Python code for the paper "Variational Noise-Contrastive Estimation", AISTATS 2019, http://proceedings.mlr.press/v89/rhodes19a/rhodes19a.pdf

Size: 79.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

nitarshan/bayes-by-backprop 📦

PyTorch implementation of "Weight Uncertainty in Neural Networks"

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 157 - Forks: 47

annamenacher/BLESS

Code for simulation studies and UK Biobank application in paper 'Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior'

Language: R - Size: 15.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

smthzch/computational-bayes

A notebook exploring various Bayesian inference techniques and the algorithms behind them. Includes conjugate priors, Markov chain monte carlo (mcmc), and variational inference (vi)

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hayato-n/BayesianMarketSegmentation

Bayesian Market Segmentation Algorithm for Hedonic Analysis

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Sheev13/vae

PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images

Language: Jupyter Notebook - Size: 791 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

vladbataev/vib

Language: Jupyter Notebook - Size: 8.52 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Sagarnandeshwar/Variational_Inference_Of_PRS_Using_Empirical_Prior

Machine Learning in Genomics and Healthcare (COMP 565) Project

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Robotmurlock/VariationalAutoEncoder

Implementation of the Auto-Encoding Variational Bayes paper in Pytorch with detailed explanation.

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

punit-haria/multimodal-learning

Multimodal Representation Learning

Language: Python - Size: 28.6 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

keyber/Bayesian-Models

Entraînement de modèles Bayésiens et analyse de robustesse.

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dingquanyu/HO-VGAE_ppi_predictor

A graph variational auto-encoder trained on STRING database to predict novel PPIs

Language: Python - Size: 117 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Sagarnandeshwar/Variational_Inference_Of_Bayesian_Linear_Regression

Machine Learning in Genomics and Healthcare (COMP 565) Project

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

juliennonin/variational-gaussian-mixture

Variational Bayesian Model Selection for Mixture Distributions [Corduneanu&Bishop01][PRML 10.2.1]

Language: Python - Size: 1.32 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 2

oskopek/pgmia-lecture-notes

Lecture notes for Probabilistic Graphical Models for Image Analysis, ETH Zurich fall 2018

Language: TeX - Size: 13.3 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

scala-infer/scala-infer

Scala embedded universal probabilistic programming language

Language: Scala - Size: 414 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 10 - Forks: 3

nonconvexopt/torch_variational

Pytorch Variational module wrappers

Language: Jupyter Notebook - Size: 78.1 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

JimRaza/ML-Projects

Machine learning and data science projects in Python

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tillahoffmann/mininf

mininf is a minimal library to infer the parameters of probabilistic programs and make predictions.

Language: Python - Size: 139 KB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

vsimkus/variational-gibbs-inference

[JMLR] Research code for the paper "Variational Gibbs inference for statistical estimation from incomplete data".

Language: Python - Size: 677 MB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 2

AaltoML/improved-hyperparameter-learning

Codes for 'Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models' (ICML 2023)

Language: Jupyter Notebook - Size: 6.39 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Rmomal/nestor

Meet nestor, an R package for the variational inference of species interaction networks from abundance data, while accounting for missing actors.

Language: R - Size: 4.28 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

abrazinskas/SelSum

Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

Language: Python - Size: 1.59 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 42 - Forks: 3

ml-uol/prosper

A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions

Language: Python - Size: 623 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 9

beginaid/VAE

This repository is for sharing the scripts of VAE.

Language: Python - Size: 1.42 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

rakshita95/bayesian_regression

Bayesian Linear regression using MCMC and Variational Inference

Language: Python - Size: 170 KB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 2

overshiki/Relbo.jl

rewriting ELBO: variational inference using symbolic rewriting techniques

Language: Julia - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

vrettasm/MeanFieldVarGP

Mean field variational Gaussian process algorithm. This repository contains a python3 implementation of the variational mean field algorithm as described in the paper: Physical Review E. vol. 91, 2015, 012148.

Language: Python - Size: 20.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

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 at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 18 - Forks: 1

PGM-Lab/2023-ProbAI

Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023

Language: Jupyter Notebook - Size: 21.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 3

santhu932/Topic-Modeling-ETM

Attempted to replicate the research paper on the subject of topic modeling within embedded spaces.

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

hanyas/mimo

A toolbox for inference of mixture models

Language: Python - Size: 713 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 4

hanyas/wasserstein-flow-filter

Variational Filtering via Wasserstein Gradient Flow

Language: Python - Size: 88.9 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

itsayushthada/Probabislitc-Deep-Learning

Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 3

juliennonin/auto-diff-variational-inference

Automatic Differentiation Variational Inference (ADVI) [A. Kucukelbir & al.]

Language: Python - Size: 1.08 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

gurbaaz27/cs690a-clustering-spatial-transcriptomics-data

Course Assignment on Clustering of Spatial Transcriptomics Data

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ravichoudharyds/Topic_Modeling

Comparison of Topic Models

Language: Jupyter Notebook - Size: 629 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

marx-alex/SCALEX-mp

Batch integration for morphological profiling using variational inference

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AnirbanSamaddar/SparC-IB

This repository contains opensource codes for sparsity inducing approaches in deep information bottleneck models.

Language: Python - Size: 51.8 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mkrcke/strutopy

A Python implementation for Structural Topic Modeling

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 0

zheng-yanan/paper-list

This is a curated list of papers in related domains, including disentangled representation learning, neural dialogue generation, neural variational models, variational inference etc.

Size: 33.2 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

smsharma/deep-prob-prog-tutorials

Tutorials for the 2022 IAIFI Summer School, covering (deep) probabilistic programming with Jax and NumPyro.

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

mikemikezhu/cavi

Coordinate Ascent Variational Inference Python Code

Language: Python - Size: 175 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

efreidun/vapor

A Probabilistic Framework for Visual Localization in Ambiguous Scenes

Language: Python - Size: 2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 1

oskopek/mvae

Mixed-curvature Variational Autoencoders (ICLR 2020)

Language: Python - Size: 243 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 57 - Forks: 13

xuedong/machine-learning-summer-schools

Curated materials for different machine learning related summer schools

Language: Jupyter Notebook - Size: 1.19 GB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 9

jilljenn/vae

Variational Factorization Machines in TensorFlow and PyTorch

Language: Python - Size: 311 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

maremita/nnTreeVB

nnTreeVB: a Neural Network-based Variational Bayesian Framework for Phylogenetic Parameter Estimation

Language: Python - Size: 3.36 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Sheev13/bnn-mean-field-vi

Language: Jupyter Notebook - Size: 3.27 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

VGraphRNN/VGRNN

Variational Graph Recurrent Neural Networks - PyTorch

Language: Python - Size: 9.55 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 95 - Forks: 31

4ment/phylojax

Language: Python - Size: 90.8 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

IntelLabs/AVUC 📦

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

Language: Python - Size: 9.98 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 10

maxencefaldor/vae

Variational Autoencoder theory and application to CelebA dataset

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

hwangoh/uq-vae

Solving Bayesian Inverse Problems via Variational Autoencoders

Language: Python - Size: 333 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2

cb-g/PAI

Language: Python - Size: 4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Droliven/diverse_sampling

Official project of DiverseSampling (ACMMM2022 Paper)

Language: Python - Size: 98 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

AaltoML/spatio-temporal-GPs

Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'

Language: Python - Size: 38.1 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 27 - Forks: 1

Prasanna1991/pytorch-vae

Variational Autoencoder in Pytorch

Language: Python - Size: 1.95 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 11 - Forks: 2