Projects in Awesome Lists tagged with variational-autoencoders

https://github.com/antixk/pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

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

Last synced: 13 May 2025

https://github.com/AntixK/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

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

Last synced: 01 May 2025

https://github.com/SimonKohl/probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

generative-models neurips neurips-2018 nips nips-2018 semantic-segmentation u-net variational-autoencoders variational-inference

Last synced: 19 Jul 2025

https://github.com/js05212/BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

arxiv bayesian bayesian-deep-learning bdl deep-learning machine-learning neural-networks survey variational-autoencoders

Last synced: 14 Mar 2025

https://github.com/franxyao/deep-generative-models-for-natural-language-processing

DGMs for NLP. A roadmap.

approximate-inference decoding discrete-structures generative-adversarial-networks generative-model generative-models generative-text gradient-estimation graphical-models language-model latent-variable-models markov-chain-monte-carlo mcmc natural-language-processing normalizing-flows parsing structured-prediction text-generation variational-autoencoders variational-inference

Last synced: 28 Feb 2025

https://github.com/franxyao/Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

approximate-inference decoding discrete-structures generative-adversarial-networks generative-model generative-models generative-text gradient-estimation graphical-models language-model latent-variable-models markov-chain-monte-carlo mcmc natural-language-processing normalizing-flows parsing structured-prediction text-generation variational-autoencoders variational-inference

Last synced: 22 Apr 2025

https://github.com/hoangcuong2011/Good-Papers

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

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

Last synced: 19 Jul 2025

https://github.com/biomedia-mira/deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

causal-inference counterfactuals deep-learning normalizing-flows variational-autoencoders

Last synced: 17 Sep 2025

https://github.com/jmtomczak/vae_vampprior

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

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

Last synced: 01 Apr 2025

https://github.com/pycroscopy/atomai

Deep and Machine Learning for Microscopy

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

Last synced: 04 Apr 2025

https://github.com/ajbrock/generative-and-discriminative-voxel-modeling

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

convnet deep-learning gui machine-learning variational-autoencoders

Last synced: 05 Apr 2025

https://github.com/greenelab/tybalt

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

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

Last synced: 02 Mar 2025

https://github.com/ericmjl/flu-sequence-predictor

An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.

bokeh deep-learning flask flu flu-forecaster gaussian-processes influenza influenza-protein-sequences protein-sequences pymc vaccine variational-autoencoders

Last synced: 13 Apr 2025

https://github.com/cavaunpeu/flight-delays

Transfer learning for flight-delay prediction via variational autoencoders in Keras

keras transfer-learning variational-autoencoders

Last synced: 23 Mar 2025

https://github.com/yjlolo/pytorch-deep-markov-model

PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]

aaai markov-model pytorch-implementation reimplementation sequential-data variational-autoencoders variational-inference

Last synced: 14 Apr 2025

https://github.com/trungnt13/odin-ai

Orgainzed Digital Intelligent Network (O.D.I.N)

bayesian-methods deep-learning deep-neural-networks disentangled-representations disentanglement-learning factor-vae generative-model graph-algorithms image-processing machine-learning natural-language-processing probabilistic-graphical-models probabilistic-programming semi-supervised-learning speech-processing text-processing variational-autoencoder variational-autoencoders

Last synced: 03 Aug 2025

https://github.com/zotroneneis/deep_music

Recurrent neural network in TensorFlow for generating novel monophonic melodies.

neural-network python3 recurrent-neural-network recurrent-neural-networks tensorflow variational-autoencoder variational-autoencoders

Last synced: 30 Apr 2025

https://github.com/dongjunlee/vae-tensorflow

TensorFlow implementation of Auto-Encoding Variational Bayes.

generative-model hb-experiment mnist tensorflow variational-autoencoders variational-inference

Last synced: 15 Apr 2025

https://github.com/nghorbani/cnn_implementations

Data and Trained models can be downloaded from https://goo.gl/7PrKD2

adversarial-autoencoders dcgan gan generative-model improved-wasserstein python3 tensorflow vae variational-autoencoders wasserstein-gan

Last synced: 22 Apr 2025

https://github.com/artsobolev/dvaes

Implementation of different approaches to train Discrete Variational Autoencoders

deep-learning discrete-variational-autoencoders generative-models variational-autoencoders

Last synced: 04 Apr 2025

https://github.com/gurbaaz27/cs690a-clustering-spatial-transcriptomics-data

Course Assignment on Clustering of Spatial Transcriptomics Data

cancer-genomics clustering computational-biology computational-genomics deep-learning gene-expression k-means-clustering leiden-algorithm louvain-algorithm rna-seq spatial-transcriptomics transcriptomics variational-autoencoder variational-autoencoders variational-inference visium

Last synced: 05 Jul 2025

https://github.com/j-min/generative_models

PyTorch Implementations of Generative models

generative-adversarial-network generative-models pytorch variational-autoencoders

Last synced: 13 Mar 2025

https://github.com/karinazad/salvaedor-dali

Generate classical paintings using Variational Autoencoders (VAEs).

reconstruction vae variational-autoencoders

Last synced: 27 Dec 2025

https://github.com/luqigroup/fvae

Code to partially reproduce results in "Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders"

clustering multi-scale source-separation unsupervised-learning variational-autoencoders

Last synced: 08 Nov 2025

https://github.com/wmkouw/vae-fg

A variational autoencoder node for factor-graphs.

factor-graph message-passing variational-autoencoders

Last synced: 04 Apr 2025

https://github.com/limon-s-ai-zone/ml-dl-project

🌟 Welcome to the Machine Learning and Deep Learning Projects repository! This project is a compilation of diverse and engaging projects spanning computer vision, Kaggle competitions, generative AI, and advanced techniques such as autoencoders and variational autoencoders

autoencoder cnn computer-vision deep-learning generative-adversarial-network image-captioning image-classification image-processing kaggle-competition ml object-detection pytorch rnn tensorflow variational-autoencoders