Projects in Awesome Lists tagged with variational-autoencoder

https://github.com/hwalsuklee/tensorflow-generative-model-collections

Collection of generative models in Tensorflow

acgan began cgan cvae dragan ebgan fashion-mnist gan generative-adversarial-networks generative-model generative-models improved-wgan infogan lsgan mnist tensorflow vae variational-autoencoder wgan wgan-gp

Last synced: 30 Sep 2024

https://github.com/krasserm/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-machine-learning bayesian-methods bayesian-optimization gaussian-processes machine-learning variational-autoencoder

Last synced: 03 Oct 2024

https://github.com/clementchadebec/benchmark_vae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

benchmarking beta-vae comparison normalizing-flows pixel-cnn pytorch reproducibility reproducible-research vae vae-gan vae-implementation vae-pytorch variational-autoencoder vq-vae wasserstein-autoencoder

Last synced: 30 Sep 2024

https://github.com/clementchadebec/benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

benchmarking beta-vae comparison normalizing-flows pixel-cnn pytorch reproducibility reproducible-research vae vae-gan vae-implementation vae-pytorch variational-autoencoder vq-vae wasserstein-autoencoder

Last synced: 02 Aug 2024

https://github.com/gmvandeven/continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

artificial-neural-networks class-incremental-learning continual-learning deep-learning distillation domain-incremental-learning elastic-weight-consolidation generative-models gradient-episodic-memory icarl incremental-learning lifelong-learning replay replay-through-feedback task-incremental-learning variational-autoencoder

Last synced: 30 Sep 2024

https://github.com/GMvandeVen/continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

artificial-neural-networks class-incremental-learning continual-learning deep-learning distillation domain-incremental-learning elastic-weight-consolidation generative-models gradient-episodic-memory icarl incremental-learning lifelong-learning replay replay-through-feedback task-incremental-learning variational-autoencoder

Last synced: 02 Aug 2024

https://github.com/rubenszimbres/repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

anomaly-detection autoencoder deep-learning denoising-autoencoders generative-adversarial-network glove keras keras-layer keras-models latent-dirichlet-allocation natural-language-processing nlp opencv resnet-50 segnet sentiment-analysis svm-classifier t-sne variational-autoencoder word2vec

Last synced: 30 Sep 2024

https://github.com/RubensZimbres/Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

anomaly-detection autoencoder deep-learning denoising-autoencoders generative-adversarial-network glove keras keras-layer keras-models latent-dirichlet-allocation natural-language-processing nlp opencv resnet-50 segnet sentiment-analysis svm-classifier t-sne variational-autoencoder word2vec

Last synced: 30 Jul 2024

https://github.com/scverse/scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

cite-seq deep-generative-model deep-learning human-cell-atlas scrna-seq scverse single-cell-genomics single-cell-rna-seq variational-autoencoder variational-bayes

Last synced: 01 Oct 2024

https://github.com/jaanli/variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

autoregressive-neural-networks deep deep-learning deep-neural-networks learning machine-learning probabilistic-graphical-models pytorch tensorflow unsupervised-learning vae variational-autoencoder variational-inference

Last synced: 30 Sep 2024

https://github.com/wubinzzu/NeuRec

Next RecSys Library

adversarial-learning autoencoder collaborative-filtering convolutional-neural-networks deep-learning gcn neural-networks recommender-systems sequential social-network tensorflow variational-autoencoder

Last synced: 08 Aug 2024

https://github.com/wubinzzu/neurec

Next RecSys Library

adversarial-learning autoencoder collaborative-filtering convolutional-neural-networks deep-learning gcn neural-networks recommender-systems sequential social-network tensorflow variational-autoencoder

Last synced: 01 Oct 2024

https://github.com/jmtomczak/intro_dgm

"Deep Generative Modeling": Introductory Examples

autoregressive-modeling deep-generative-modelling deep-learning energy-based-model flow-based-modeling generative-adversarial-network generative-ai neural-compression pytorch score-based-generative-modeling variational-autoencoder

Last synced: 31 Jul 2024

https://github.com/EndlessSora/focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

autoencoder complementary frequency-analysis frequency-domain gan generative-adversarial-network generative-models generic iccv2021 image-generation image-reconstruction image-synthesis loss loss-function pix2pix spade stylegan2 variational-autoencoder

Last synced: 03 Aug 2024

https://github.com/VincentStimper/normalizing-flows

PyTorch implementation of normalizing flow models

density-estimation glow invertible-neural-networks neural-spline-flow normalizing-flow pytorch real-nvp residual-flow variational-autoencoder variational-inference

Last synced: 03 Aug 2024

https://github.com/dawenl/vae_cf

Variational autoencoders for collaborative filtering

bayesian-inference collaborative-filtering recommender-systems variational-autoencoder

Last synced: 07 Aug 2024

https://github.com/navneet-nmk/pytorch-rl

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

ddpg deep-learning deep-reinforcement-learning dqn experience-replay gan generative-adversarial-network gym mujoco mujoco-py openai openai-gym policy-gradient pytorch reinforcement-learning rl-algorithms robotics vae vae-gan variational-autoencoder

Last synced: 01 Aug 2024

https://github.com/EleutherAI/DALLE-mtf

Open-AI's DALL-E for large scale training in mesh-tensorflow.

artificial-intelligence autoregressive multimodal text-to-image transformers variational-autoencoder

Last synced: 07 Aug 2024

https://github.com/nicola-decao/s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

deep-learning hyperspherical-vae machine-learning manifold-learning pytorch vae variational-autoencoder von-mises-fisher

Last synced: 05 Aug 2024

https://github.com/omerbsezer/Generative_Models_Tutorial_with_Demo

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

auto-regressive-model bayesian-classifiers cyclegan dcgan gans gaussian-mixture-models generative-adversarial-network generative-model tutorial tutorial-code variational-autoencoder variational-inference

Last synced: 07 Aug 2024

https://github.com/edgarschnfld/CADA-VAE-PyTorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

few-shot-learning generalized-zero-shot-learning vae variational-autoencoder zero-shot-learning

Last synced: 30 Jul 2024

https://github.com/yzwxx/vae-celebA

celeba-dataset tensorflow tensorlayer variational-autoencoder vggl16

Last synced: 01 Aug 2024

https://github.com/nicola-decao/BNAF

Pytorch implementation of Block Neural Autoregressive Flow

density-estimation neural-networks normalizing-flows variational-autoencoder

Last synced: 03 Aug 2024

https://github.com/StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

anomaly-detection autoencoder deep-learning gan mri segmentation unsupervised-learning variational-autoencoder

Last synced: 30 Jul 2024

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: 03 Aug 2024

https://github.com/tuanad121/python-world

manifold-learning manifold-vocoder pitch pycharm python vae variational-autoencoder world-vocoder

Last synced: 26 Sep 2024

https://github.com/felixmohr/deep-learning-with-python

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

dcgan deep-learning gan generative-adversarial-network lstm neural-networks python python3 style-transfer tensorflow tensorflow-tutorials vae variational-autoencoder

Last synced: 26 Sep 2024

https://github.com/RetroCirce/Music-SketchNet

ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm

deep-learning ismir jupyter-notebook music music-generation music-information-retrieval python variational-autoencoder

Last synced: 31 Jul 2024

https://github.com/GMvandeVen/class-incremental-learning

PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).

ar1 brain-inspired-replay class-incremental-learning continual-learning cwr cwr-plus elastic-weight-consolidation generative-classification generative-classifier generative-replay labels-trick slda synaptic-intelligence variational-autoencoder

Last synced: 03 Aug 2024

https://github.com/h3lio5/linguistic-style-transfer-pytorch

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

acl adversarial-learning disentangled-representations disentanglement latent-representations natural-language-generation pytorch style-transfer text-style-transfer variational-autoencoder

Last synced: 07 Aug 2024

https://github.com/MrtnMndt/OpenVAE_ContinualLearning

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

continual-learning deep-learning open-set-recognition pytorch variational-autoencoder

Last synced: 03 Aug 2024

https://github.com/daQuincy/DeepMusicvStyle

Code repo for ICME 2020 paper "Style-Conditioned Music Generation". VAE model that allows style-conditioned music generation.

deep-learning music-composition music-generation vae variational-autoencoder

Last synced: 05 Aug 2024

https://github.com/Novartis/scar

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

cite-seq crispr-screen denoising-algorithm generative-model machine-learning probabilistic-graphical-models pytorch single-cell-rna-seq variational-autoencoder

Last synced: 26 Sep 2024

https://github.com/zotroneneis/tensorflow_deep_learning_models

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

cnn cnn-tensorflow convolutional-neural-network convolutional-neural-networks deep-learning ipynb machine-learning notebook python recurrent-neural-network recurrent-neural-networks rnn rnn-tensorflow tensorflow vae variational-autoencoder

Last synced: 27 Sep 2024

https://github.com/FabianFalck/mfcvae

Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

clustering deep-clustering deep-generative-models multi-facet-clustering vade variational-autoencoder variational-deep-embedding

Last synced: 03 Aug 2024

https://github.com/vLAR-group/UnsupObjSeg

🔥Benchmarking Unsupervised Object Segmentation (NeurIPS 2022)

benchmarking generative-model instance-segmentation neurips-2022 object-centric object-detection object-segmentation real-world-images unsupervised-learning variational-autoencoder variational-inference

Last synced: 31 Jul 2024

https://github.com/yunjaechoi/vaemols

Variational Autoencoder for Molecules

molecule rdkit tensorflow variational-autoencoder

Last synced: 28 Sep 2024

https://github.com/robert-giaquinto/gradient-boosted-normalizing-flows

We got a stew going!

boosting deep-generative-model density-estimation normalizing-flows pytorch variational-autoencoder variational-inference

Last synced: 02 Aug 2024

https://mithi.github.io/deep-blueberry/

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

computer-vision convolutional-neural-networks deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning generative-adversarial-network keras-tensorflow long-short-term-memory machine-learning machine-learning-algorithms pytorch-implementation pytorch-tutorial recurrent-neural-networks reinforcement-learning variational-autoencoder

Last synced: 31 Jul 2024

https://github.com/trungnt13/sisua

SemI-SUpervised generative Autoencoder models for single cell data

bayesian-inference deep-learning semi-supervised-learning single-cell variational-autoencoder

Last synced: 01 Aug 2024

https://github.com/iechevarria/lego-face-VAE

Variational autoencoder for Lego minifig faces

deep-learning lego variational-autoencoder

Last synced: 01 Aug 2024

https://github.com/rguo12/CIKM18-LCVA

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

causal-inference network-embedding treatment-effects variational-autoencoder variational-inference

Last synced: 01 Aug 2024

https://github.com/mseitzer/neurips2019-disentanglement-challenge

disentangled-representations disentanglement neurips-2019 variational-autoencoder

Last synced: 07 Aug 2024

https://github.com/webpolis/musai

Machine learning-powered music generation. Full-featured tokenizer, customization options, and high-quality output files. Integration with music production tools.

deep-learning generative-art large-language-models llm machine-learning midi music music-generation nlp recurrent-neural-networks rnn text-generation tokenizer vae variational-autoencoder