variational-autoencoders

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

machine-learning natural-language-processing computer-vision deep-learning neural-network semi-supervised-learning convolutional-networks neural-machine-translation representation-learning gaussian-processes variational-inference kernel-learning variational-autoencoders deep-kernel-learning

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XiaoyuBIE1994 / DVAE

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(FTML 2021) Official implementation of Dynamical VAEs

deep-learning generative-model variational-autoencoders

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Python

jmtomczak / vae_vampprior

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Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

deep-learning generative-model representation-learning variational-autoencoders

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Python

👁 atomai

pycroscopy / atomai

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Deep and Machine Learning for Microscopy

machine-learning deep-learning materials jupyter-notebook pytorch ensemble-learning electron-microscopy materials-science microscopy imaging semantic-segmentation fully-convolutional-networks multivariate-analysis variational-autoencoders deep-kernel-learning scanning-probe-microscopy google-colaboratory

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Python

ajbrock / Generative-and-Discriminative-Voxel-Modeling

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Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

machine-learning gui deep-learning convnet variational-autoencoders

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Python

greenelab / tybalt

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Training and evaluating a variational autoencoder for pan-cancer gene expression data

deep-learning analysis script tool cancer gene-expression cancer-genomics autoencoder unsupervised-learning variational-autoencoder variational-autoencoders

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HTML

VGraphRNN / VGRNN

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Variational Graph Recurrent Neural Networks - PyTorch

representation-learning variational-inference link-prediction graph-convolutional-networks variational-autoencoder variational-autoencoders graph-embedding graph-neural-networks graph-representation-learning node-embedding dynamic-graphs graph-auto-encoder graph-neural-network

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Python

zfountas / deep-active-inference-mc

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Deep active inference agents using Monte-Carlo methods

cognitive-science variational-inference monte-carlo-tree-search monte-carlo-methods machine-learning-models variational-autoencoders dsprites disentangled-representations model-based-reinforcement-learning active-inference animal-ai cognitive-architectures

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Python

eelxpeng / UnsupervisedDeepLearning-Pytorch

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This repository tries to provide unsupervised deep learning models with Pytorch

deep-learning unsupervised pytorch generative-adversarial-network autoencoder denoising-autoencoders variational-autoencoders

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Python

addtt / ladder-vae-pytorch

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Ladder Variational Autoencoders (LVAE) in PyTorch

pytorch vae representation-learning unsupervised-learning variational-inference generative-models variational-autoencoders ladder-vae ladder-variational-autoencoders

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Python

jmtomczak / vae_householder_flow

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Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

deep-learning generative-model representation-learning normalizing-flows variational-autoencoders

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Python

jgvfwstone / ArtificialIntelligenceEngines

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Computer code collated for use with Artificial Intelligence Engines book by JV Stone

learning machine-learning reinforcement-learning deep-learning artificial-intelligence gan neural-networks deeplearning perceptron backpropagation variational-autoencoders boltzmann-machine perceptron-neural-networks hopfield-neural-network

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Python

LynnHo / VAE-Tensorflow

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(beta-)VAE Tensorflow

tensorflow vae variational-autoencoders

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Python

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