Projects in Awesome Lists tagged with variational-autoencoder
A curated list of 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: 14 May 2025
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: 14 May 2025
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: 29 Apr 2025
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: 15 May 2025
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: 01 May 2025
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: 14 May 2025
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: 14 Dec 2025
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: 14 Mar 2025
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: 16 May 2025
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: 08 Apr 2025
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: 15 May 2025
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: 20 Jul 2025
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: 27 Mar 2025
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: 21 Jul 2025
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: 11 May 2025
https://github.com/yanndubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
beta-tcvae beta-vae celeba chairs-dataset deep-learning disentangled-representations disentanglement dsprites factor-vae fashion-mnist mnist pytorch representation-learning reproducible-research unsupervised-learning vae variational-autoencoder
Last synced: 12 Apr 2025
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: 08 May 2025
https://github.com/timbmg/vae-cvae-mnist
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
cvae deep-learning latent-variable-models mnist pytorch vae variational-autoencoder
Last synced: 04 Apr 2025
https://github.com/dawenl/vae_cf
Variational autoencoders for collaborative filtering
bayesian-inference collaborative-filtering recommender-systems variational-autoencoder
Last synced: 24 Dec 2025
https://github.com/hwalsuklee/tensorflow-mnist-vae
Tensorflow implementation of variational auto-encoder for MNIST
autoencoder dae denoising-autoencoders mnist tensorflow vae variational-autoencoder
Last synced: 05 Apr 2025
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: 20 Oct 2025
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: 05 Apr 2025
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: 19 Jul 2025
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: 15 Jul 2025
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: 04 Oct 2025
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: 19 Jul 2025
https://github.com/alexlee-gk/video_prediction
Stochastic Adversarial Video Prediction
adversarial gan generative-adversarial-network stochastic vae vae-gan variational-autoencoder video-generation video-prediction
Last synced: 11 Apr 2025
https://github.com/sksq96/pytorch-vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
convolutional-neural-networks vae variational-autoencoder
Last synced: 09 Apr 2025
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: 15 Mar 2025
https://github.com/gmvandeven/brain-inspired-replay
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
artificial-neural-networks brain-inspired continual-learning deep-learning distillation elastic-weight-consolidation generative-replay incremental-learning internal-replay lifelong-learning permuted-mnist replay replay-through-feedback split-cifar100 split-mnist synaptic-intelligence variational-autoencoder
Last synced: 09 Apr 2025
https://github.com/sony/sqvae
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
bayesian deep-generative-model generative-model gumbel-softmax machine-learning pytorch vae variational-autoencoder vector-quantization vq-vae
Last synced: 21 Aug 2025
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: 14 Mar 2025
https://github.com/yzwxx/vae-celebA
Variational auto-encoder trained on celebA . All rights reserved.
celeba-dataset tensorflow tensorlayer variational-autoencoder vggl16
Last synced: 13 Apr 2025
https://github.com/nicola-decao/BNAF
Pytorch implementation of Block Neural Autoregressive Flow
density-estimation neural-networks normalizing-flows variational-autoencoder
Last synced: 11 May 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: 06 Mar 2026
https://github.com/numaproj/numalogic
Collection of operational time series ML models and tools
autoencoders deep-learning hacktoberfest machine-learning outlier-detection python time-series unsupervised-learning variational-autoencoder
Last synced: 15 May 2025
https://github.com/mhw32/multimodal-vae-public
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
generative-models machine-learning multimodal-learning variational-autoencoder
Last synced: 14 Apr 2025
https://github.com/tuanad121/python-world
manifold-learning manifold-vocoder pitch pycharm python vae variational-autoencoder world-vocoder
Last synced: 08 Nov 2025
https://github.com/makgyver/rectorch
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
autoencoder collaborative-filtering generative-adversarial-network matrix-factorization pypi pytorch recommender-system top-n-recommendations variational-autoencoder
Last synced: 14 Feb 2026
https://github.com/hwalsuklee/tensorflow-mnist-cvae
Tensorflow implementation of conditional variational auto-encoder for MNIST
autoencoder conditional conditional-vae cvae denoising denoising-autoencoders denoising-images mnist tensorflow vae variational-autoencoder variational-inference
Last synced: 13 Apr 2025
https://github.com/clementchadebec/pyraug
Data Augmentation with Variational Autoencoders (TPAMI)
data-augmentation python variational-autoencoder
Last synced: 22 Aug 2025
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: 30 Sep 2025
https://github.com/abdulfatir/normalizing-flows
Understanding normalizing flows
deep-learning normalizing-flows variational-autoencoder variational-inference
Last synced: 15 Apr 2025
https://github.com/tgsmith61591/smrt
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
autoencoder class-imbalance machine-learning neural-networks smote tensorflow vae variational-autoencoder
Last synced: 13 Apr 2025
https://github.com/umcutrecht-ecgxai/ecgxai
Neatly packaged AI methods for explainable ECG analysis
deep-learning deep-neural-networks ecg explainable-ai variational-autoencoder
Last synced: 10 Mar 2026
https://github.com/asarigun/awesome-denovo-papers
Awesome De novo drugs design papers
cheminformatics deep-generative-models deep-learning denovo-design diffusion-model drug-design drug-discovery gans gcn generative-model gnns machine-learning neural-networks paper target-based-drug variational-autoencoder
Last synced: 16 Jan 2026
https://github.com/rpng/calc2.0
CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure
deep-learning slam variational-autoencoder
Last synced: 08 May 2025
https://github.com/arman-aminian/lofi-generator
Music(Lo-fi) generation using deep learning techniques.
autoencoder deep-learning lo-fi lofi low-pass-filter lstm machine-learning music music-generation music-generation-deep-learning music-generator vae variational-autoencoder
Last synced: 14 Oct 2025
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: 17 Mar 2025
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 Jul 2025
https://github.com/podgorskiy/vae
Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
autoencoder celeba celeba-dataset deep-learning deep-neural-networks deeplearning faces pytorch vae variational-autoencoder
Last synced: 15 Jun 2025
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: 08 May 2025
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: 19 Jul 2025
https://github.com/aksub99/molecular-vae
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
cheminformatics chemistry deep-learning drug-discovery jupyter-notebook machine-learning materials-informatics materials-science molecular-structures natural-language-processing python pytorch variational-autoencoder
Last synced: 18 Mar 2025
https://github.com/snakers4/playing_with_vae
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
beginner embedding fashion-mnist mnist pca python3 pytorch tutorial umap variational-autoencoder
Last synced: 13 Jul 2025
https://github.com/ioangatop/srvae
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
cifar-10 cifar10 generative-model python3 pytorch representation-learning super-resolution unsupervised-learning unsupervised-machine-learning vae vae-pytorch variational-autoencoder
Last synced: 24 Dec 2025
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: 08 May 2025
https://github.com/kevinzakka/vae-pytorch
AE and VAE Playground in PyTorch
autoencoder pytorch variational-autoencoder
Last synced: 24 Mar 2025
https://github.com/imkett/ctg-latentaes
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
autoencoders controllable-generation generative-model latent-variable-models natural-language-processing paperlist representation-learning text-generation vae variational-autoencoder
Last synced: 04 Jan 2026
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: 14 Jul 2025
https://github.com/ziatdinovmax/pyroved
Invariant representation learning from imaging and spectral data
encoder-decoder-model image-data probabilistic-programming pyro rotation-invariant scale-invariance semi-supervised-learning semi-supervised-vae spectral-data translation-invariant unsupervised-machine-learning vae variational-autoencoder
Last synced: 28 Aug 2025
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: 28 Sep 2025
https://github.com/boltzmannentropy/qmldocker
A docker container for quantum machine learning (QML) research
ai cirq deep-learning m1-mac paddlepaddle pennylane pytorch qiskit qml quantum quantum-algorithms quantum-computing quantum-eignsolvers quantum-mechanincs quantum-neural-networks variational-autoencoder vqe
Last synced: 15 Apr 2025
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: 21 Jul 2025
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: 08 May 2025
https://github.com/affromero/ntire22_inpainting
NTIRE 2022 - Image Inpainting Challenge
computer-vision denoising-diffusion gans image-completion image-inpainting image-synthesis inpainting stylegan variational-autoencoder vqgan
Last synced: 15 Aug 2025
https://github.com/sarodyatawatta/federated-pytorch-test
Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
clustering consensus-model consensus-optimization deep-learning federated-learning lbfgs pytorch sagecal variational-autoencoder
Last synced: 09 Sep 2025
https://github.com/arkanivasarkar/eeg-data-augmentation-using-variational-autoencoder
Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
data-augmentation eeg-signals eegnet keras keras-tensorflow motor-imagery-classification synthetic-dataset-generation variational-autoencoder
Last synced: 05 Oct 2025
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: 07 Oct 2025
https://github.com/smsharma/minified-generative-models
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
consistency-models diffusion-models flow-matching generative-models minified neural-compression normalizing-flows variational-autoencoder
Last synced: 15 Apr 2026
https://github.com/visinf/cos-cvae
Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)
conditional-vae image-captioning latent-variable-models neurips2020 variational-autoencoder
Last synced: 23 Mar 2025
https://github.com/bits-bytes-nn/sound-anomaly-detection-with-autoencoders
MIMII Sound Anomaly Detection with AutoEncoders
anomaly-detection autoencoder bokeh librosa matplotlib sagemaker tensorflow variational-autoencoder
Last synced: 06 Jul 2025
https://github.com/yeonghyeon/cvae-anomalydetection-pytorch
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
anomaly-detection convolutional-neural-networks generative-neural-network mnist-dataset pytorch variational-autoencoder
Last synced: 26 Apr 2025
https://github.com/megagonlabs/coop
☘️ Code for Convex Aggregation for Opinion Summarization (Iso et al; Findings of EMNLP 2021)
natural-language-generation opinion-summarization summarization text-generation unsupervised-learning vae variational-autoencoder
Last synced: 23 Apr 2025
https://github.com/imkett/adavae
[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
controllable-generation gpt-2 nlp parameter-efficient-tuning representation-learning text-classification text-generation vae variational-autoencoder
Last synced: 13 Apr 2025
https://github.com/alexeyev/keras-generating-sentences-from-a-continuous-space
Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349
deep-learning deeplearning keras keras-implementations nlp text-generation vae variational-autoencoder
Last synced: 26 Apr 2025
https://github.com/vLAR-group/UnsupObjSeg
🔥Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)
benchmarking generative-model instance-segmentation neurips-2022 object-centric object-detection object-segmentation real-world-images unsupervised-learning variational-autoencoder variational-inference
Last synced: 20 Mar 2025
https://github.com/yunjaechoi/vaemols
Variational Autoencoder for Molecules
molecule rdkit tensorflow variational-autoencoder
Last synced: 30 Oct 2025
https://github.com/hse-cs/probaforms
Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface
generative-adversarial-network generative-model neural-networks normalizing-flows variational-autoencoder
Last synced: 12 Mar 2026
https://github.com/ermongroup/lagvae
Lagrangian VAE
generative-adversarial-network tensorflow variational-autoencoder variational-inference
Last synced: 24 Aug 2025
https://github.com/mobeets/classifying-vae-lstm
music generation with a classifying variational autoencoder (VAE) and LSTM
keras lstm music-generation neural-network vae variational-autoencoder
Last synced: 28 Oct 2025
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: 23 Apr 2025
https://github.com/greenelab/shared-latent-space
Shared Latent Space VAE's
analysis autoencoder machine-learning methodology variational-autoencoder
Last synced: 02 Aug 2025
https://github.com/geometric-intelligence/pirounet
Conditional dance generator
art dance deep-learning lstm machine-learning semi-supervised-learning variational-autoencoder
Last synced: 05 May 2025
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: 27 Mar 2025
https://github.com/imkett/pcae
[KBS] PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation PyTorch Implementation
bart controllable-generation deep-learning nlp plug-and-play-language-models text-generation variational-autoencoder
Last synced: 13 Apr 2025
https://github.com/mithi/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: 27 Feb 2025
https://github.com/dancsalo/tensorflow-vae
TF Implementation of Convolutional Variational Autoencoder.
semi-supervised-learning tensorflow variational-autoencoder
Last synced: 14 Apr 2025
https://github.com/rpatrik96/ima-vae
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
disentanglement dsprites ica independent-component-analysis pytorch pytorch-lightning vae variational-autoencoder variational-inference wandb
Last synced: 16 Jun 2025
https://github.com/ekzhang/vae-cnn-mnist
Conditional variational autoencoder applied to EMNIST + an interactive demo to explore the latent space.
keras mnist variational-autoencoder
Last synced: 09 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: 14 Mar 2026
https://github.com/mrquincle/keras-adversarial-autoencoders
Experiments with Adversarial Autoencoders using Keras
adversarial-autoencoder autoencoder jupyter keras sparse-autoencoder variational-autoencoder
Last synced: 18 Jun 2025
https://github.com/karenullrich/binary-vae
A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
bernoulli binary concrete-distribution tensorflow tensorflow-eager tensorflow-probability vae variational-autoencoder variational-inference
Last synced: 17 Aug 2025
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: 14 Apr 2025
https://github.com/yeonghyeon/advae
Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
adversarial-learning auto-encoder generative-neural-network variational-autoencoder
Last synced: 06 Jul 2025
https://github.com/dn070017/variational-autoencoders
Beta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2
deep-neural-networks tensorflow2 variational-autoencoder
Last synced: 10 Apr 2025
https://github.com/abdulfatir/planar-flow-pytorch
Pytorch implementation of Planar Flow
normalizing-flow variational-autoencoder
Last synced: 05 May 2025
https://github.com/nicklasvraa/vae_based_segmentation
Exploring variational-autoencoder-based semantic segmentation for analyzing CT-scans.
deep-learning machine-learning python pytorch segmentation variational-autoencoder
Last synced: 29 Oct 2025
