VAE
A variational autoencoder (VAE) is a generative model that combines deep learning with Bayesian inference to learn compact latent representations of data. VAEs are widely used for image generation, anomaly detection, and data augmentation.
- GitHub: https://github.com/topics/vae
- Wikipedia: https://en.wikipedia.org/wiki/Variational_autoencoder
- Aliases: variational-autoencoder,
- Last updated: 2026-03-11 00:24:22 UTC
- JSON Representation
https://github.com/ddbourgin/numpy-ml
Machine learning, in numpy
attention bayesian-inference gaussian-mixture-models gaussian-processes good-turing-smoothing gradient-boosting hidden-markov-models knn lstm machine-learning mfcc neural-networks reinforcement-learning resnet topic-modeling vae wavenet wgan-gp word2vec
Last synced: 12 May 2025
https://github.com/wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
gan generative-model machine-learning pytorch rbm restricted-boltzmann-machine tensorflow vae
Last synced: 14 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: 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/yuanxiaosc/DeepImage-an-Image-to-Image-technology
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。
cycle-gan dcgan deepface deepfakes deepnude image-generation image-to-image nerual-style pix2pix sin-gan style-gan tensorflow2 vae zao
Last synced: 26 Mar 2025
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/packtpublishing/advanced-deep-learning-with-keras
Advanced Deep Learning with Keras, published by Packt
autoencoder deep-learning gan keras reinforcement-learning vae
Last synced: 15 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/nghorbani/human_body_prior
VPoser: Variational Human Pose Prior
human motion pose pose-estimation prior vae
Last synced: 08 Apr 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/msurtsukov/neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
jupyter-notebook neural-ode pytorch vae
Last synced: 03 Apr 2025
https://github.com/ikostrikov/tensorflow-vae-gan-draw
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
draw gan recurrent-neural-networks tensorflow vae
Last synced: 05 Apr 2025
https://github.com/timbmg/sentence-vae
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
deep-learning generative-model neural-network nlp ptb pytorch vae
Last synced: 15 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/zalandoresearch/pytorch-vq-vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
deep-learning pytorch vae vq-vae
Last synced: 05 Apr 2025
https://github.com/AmazingDD/daisyRec
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
afm biasmf cdae collaborative-filtering deepfm ease factorization-machines item2vec k-nearest-neighbors matrix-factorization neumf neural-collaborative-filtering nfm pytorch recommender-system slim svdpp vae
Last synced: 20 Jul 2025
https://github.com/AspirinCode/papers-for-molecular-design-using-DL
List of molecular design using Generative AI and Deep Learning
deep-generative-models diffusion drug-design energy-based-model gan generative-ai gnns lstm molecular-design prompt-learning reinforcement-learning rnn score-based-generative-models transformer vae
Last synced: 14 Mar 2025
https://github.com/aspirincode/papers-for-molecular-design-using-dl
List of molecular design using Generative AI and Deep Learning
deep-generative-models diffusion drug-design energy-based-model gan generative-ai gnns lstm molecular-design prompt-learning reinforcement-learning rnn score-based-generative-models transformer vae
Last synced: 24 Mar 2025
https://github.com/google-deepmind/dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
beta-vae dataset disentanglement dsprites vae
Last synced: 17 Jun 2025
https://github.com/shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
autoencoder began discriminator dragan fgan fishergan gan generative-adversarial-network generative-models infogan lsgan machine-learning mmgan nsgan python pytorch ragan vae wasserstein wgan
Last synced: 01 Apr 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/Schlumberger/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
disentangled-representations disentanglement generative-models gumbel-softmax pytorch vae
Last synced: 07 May 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/nadavbh12/vq-vae
Minimalist implementation of VQ-VAE in Pytorch
deep-learning deep-neural-networks mnist pytorch vae vq-vae
Last synced: 13 Sep 2025
https://github.com/chunyuanli/optimus
Optimus: the first large-scale pre-trained VAE language model
language-model pretrained-models vae vae-pytorch
Last synced: 06 Apr 2025
https://github.com/pkmital/pycadl
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
autoregressive celeba conditional course cyclegan dcgan deep-learning gan glove magenta mooc neural-network nsynth pixelcnn tensorflow tutorial vae vae-gan wavenet word2vec
Last synced: 04 Apr 2025
https://github.com/kefirski/pytorch_RVAE
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
deep-learning nlp python pytorch vae
Last synced: 01 Apr 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/kpandey008/DiffuseVAE
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
controllable-generation ddpm diffusion-models generative-model latent-variable-models vae
Last synced: 03 Apr 2025
https://github.com/keonlee9420/PortaSpeech
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
deep-neural-networks fastspeech generative-model hifi-gan high-quality mel-gan neural-tts non-ar non-autoregressive normalizing-flows portable-tts pytorch speech-synthesis text-to-speech tts vae
Last synced: 19 Jul 2025
https://github.com/koba-jon/pytorch_cpp
Deep Learning sample programs using PyTorch in C++
anomaly-detection autoencoder convolutional-autoencoder cpp dagmm dcgan deep-learning dimensionality-reduction generative-modeling image-to-image-translation libtorch linux multiclass-classification object-detection pix2pix pytorch semantic-segmentation u-net vae yolo
Last synced: 22 Jan 2026
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/sisinflab/elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
bprmf collaborative-filtering content-based-recommendation deepfm funksvd k-nearest-neighbours k-nn keras knowledge-graph machine-learning matrix-factorization neural-collaborative-filtering nfm recommendations recommender-system slim svdpp tensorflow2 vae
Last synced: 01 Feb 2026
https://github.com/araffin/learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
donkey-car gym openai reinforcement-learning rl sac self-driving-car simulator soft-actor-critic srl stable-baselines state-representation-learning unity vae
Last synced: 19 Jul 2025
https://github.com/foundationvision/omnitokenizer
[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.
auto-regressive-model image-generation tokenization vae video-generation vqvae
Last synced: 07 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/j-min/Adversarial_Video_Summary
Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
gan pytorch summarization vae video
Last synced: 13 Apr 2025
https://github.com/j-min/adversarial_video_summary
Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
gan pytorch summarization vae video
Last synced: 09 Apr 2025
https://github.com/rayhane-mamah/efficient-vdvae
Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
image-generation jax paper python pytorch representation-learning unsupervised-learning vae
Last synced: 22 Jun 2025
https://github.com/googlecreativelab/beat-blender
Blend beats using machine learning to create music in a fun new way.
deeplearnjs javascript machine-learning music tensorflow vae
Last synced: 03 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/riannevdberg/sylvester-flows
deep-learning normalizing-flows pytorch vae
Last synced: 15 Jul 2025
https://github.com/araffin/srl-zoo
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
autoencoder deep-learning forward-model inverse-model neural-network pytorch reinforcement-learning representation-learning srl state-representation-learning vae
Last synced: 14 Apr 2025
https://github.com/alexandervnikitin/tsgm
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurIPS'24
augmentations data-augmentation data-science datasets deep-learning generative-model keras machine-learning python synthetic-data synthetic-time-series tensorflow2 time-series vae
Last synced: 06 Apr 2025
https://github.com/vvvm23/vqvae-2
PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"
generative-model pytorch vae vq-vae vq-vae-2
Last synced: 27 Jun 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/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/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/nmichlo/disent
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
autoencoders configurable datasets disentangled-representations disentanglement metric-learning metrics python python3 pytorch pytorch-lightning representation-learning vae
Last synced: 09 Oct 2025
https://github.com/bojone/o-gan
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks
Last synced: 10 Apr 2025
https://github.com/emilemathieu/pvae
code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
hierarchical-data hyperbolic-geometry poincare-embeddings pytorch vae
Last synced: 10 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/khrylx/dlow
[ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.
deep-learning diversifying-latent-flows diversity eccv2020 generative-models motion-forecasting motion-prediction pose-forecasting pose-prediction pytorch vae
Last synced: 11 Jul 2025
https://github.com/lyeoni/pytorch-mnist-vae
autoencoder deep-learning generative-model mnist pytorch vae
Last synced: 09 Oct 2025
https://github.com/jialuechen/genmarket
Python Market Simulation Engine Built on top of Generative AI
attention-mechanism diffusion-models event-driven execution market-making portfolio-optimization quant-finance transformer vae
Last synced: 06 Apr 2025
https://github.com/akosiorek/sqair
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
approximate-inference detection generative iwae motion representations-learning sqair tracking vae variational-inference vimco
Last synced: 20 Jul 2025
https://github.com/dgedon/deepssm_sysid
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
identifiaction lstm neural-network pytorch storn vae vrnn
Last synced: 02 Sep 2025
https://github.com/hwalsuklee/tensorflow-mnist-aae
Tensorflow implementation of adversarial auto-encoder for MNIST
aae adversarial-autoencoders adversarial-networks autoencoder gan manifold manifold-learning mnist tensorflow vae
Last synced: 13 Apr 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/houxianxu/dfc-vae
Variational Autoencoder trained by Feature Perceputal Loss
celeba-dataset face-images generative-model torch vae
Last synced: 20 Aug 2025
https://github.com/akosiorek/attend_infer_repeat
A Tensorfflow implementation of Attend, Infer, Repeat
attend-infer-repeat attention attention-mechanism computer-graphics computer-vision generative-model neural-networks rnn tensorflow vae
Last synced: 05 May 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/bshall/vectorquantizedvae
A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
generative-models pytorch vae vq-vae
Last synced: 05 May 2025
https://github.com/keonlee9420/VAENAR-TTS
PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
duration glow neural-tts non-ar non-autoregressive pytorch self-attention speech-synthesis text-to-speech transforer tts unsupervised-duration unsupervised-learning vae
Last synced: 21 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/markweberdev/maskbit
Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens"
generative-ai image-generation vae vqgan vqgan-vae
Last synced: 02 Mar 2026
https://github.com/rickiepark/generative_deep_learning_2nd_edition
<만들면서 배우는 생성 AI 2판>의 코드 저장소
deep-learning gan generative-ai gpt multimodal stable-diffusion transformer vae
Last synced: 09 Apr 2025
https://github.com/vsimkus/vae-voice-conversion
Voice conversion (VC) investigation using three variants of VAE
machine-learning vae voice-conversion vqvae
Last synced: 13 May 2025
https://github.com/minkaixu/confvae-icml21
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)
bilevel-optimization computational-biology computational-chemistry conformation generative-models graph-neural-networks icml-2021 molecule pytorch vae
Last synced: 23 Oct 2025
https://github.com/MinkaiXu/ConfVAE-ICML21
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)
bilevel-optimization computational-biology computational-chemistry conformation generative-models graph-neural-networks icml-2021 molecule pytorch vae
Last synced: 21 Jul 2025
https://github.com/moverseai/moai
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
artificial-intelligence cnn computer-vision convolutional-neural-networks data-driven deep-learning depth-estimation experimentation human-pose-estimation hydra mdk neural-network object-pose-estimation pytorch reproducibility reproducible-research vae vae-pytorch
Last synced: 20 Jan 2026
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/moatifbutt/color-peel
we propose to generate a series of geometric shapes with target colors to disentangle (or peel off ) the target colors from the shapes. By jointly learning on multiple color-shape images, we found that the method can successfully disentangle the color and shape concepts.
color-learning colors diffusion-models generative-model prompt-learning pytorch stable-diffusion text-to-image vae
Last synced: 16 Aug 2025
https://github.com/topazape/molecular-vae
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
cheminformatics chemoinformatics denovo machine-learning python3 pytorch vae
Last synced: 20 Jul 2025
https://github.com/pbloem/language-models
Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).
bowman keras language-models rnn-language-model vae
Last synced: 10 Apr 2025
https://github.com/kaanakan/stretchbev
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
autonomous-driving autonomous-vehicles deep-learning eccv2022 future-prediction generative-models instance-segmentation latent-variable-models pytorch segmentation state-space-models stochastic vae
Last synced: 20 Mar 2025
https://github.com/omniinfer/python-sdk
Python SDK for Stable Diffusion API (Txt2Img/Img2Img/ControlNet/VAE)
controlnet stable-diffusion stable-diffusion-api txt2img vae
Last synced: 12 Apr 2025
https://github.com/zhiqiangdon/online-augment
Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)
auto-augment autoaugment automl data-augmentation efficient-training generative-adversarial-network less-domain-knowledge online-augment online-learning pytorch stn vae
Last synced: 05 Mar 2026
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/sunsided/vae-style-transfer
An experiment in VAE-based artistic style transfer by embedding fiddling.
artificial-intelligence autoencoder cadl deep-learning experiment generative-adversarial-network generative-art image-processing kadenze neural-network online-course tensorflow vae vaegan variational-inference
Last synced: 24 Oct 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/wjf5203/tokbench
Image and video Tokenizer/VAE selection guide, text and face reconstruction evaluation.
image-reconstruction tokenizer vae video-recons visual-tokenizer
Last synced: 27 Oct 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/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/orgoro/style-vae
Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
celeba gan generative-model perceptual-losses style-gan tensorflow vae
Last synced: 30 Apr 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/machine-learning-tokyo/generative_deep_learning
Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
gans generative-adversarial-networks generative-model stylegan vae wgan wgan-gp
Last synced: 28 Apr 2025
https://github.com/blutjens/eie-earth-public
Official repo for 'Generating Physically-Consistent Satellite Imagery for Climate Visualizations'
bicyclegan earth-observation gan generative-adversarial-network generative-ai image-to-image image-to-image-translation pytorch satellite-imagery segmentation vae
Last synced: 22 Sep 2025
https://github.com/bchao1/fun-with-mnist
Playing with MNIST. Machine Learning. Generative Models.
acgan autoencoders began conditonal-gan ebgan gan generative-adversarial-network infogan lsgan mnist pca tsne vae wgan wgan-gp
Last synced: 13 Jun 2025
https://github.com/zohebabai/deep-learning-projects
Best Deep Learning Projects for Advanced Learners
cnn computer-vision deep-learning gans jax keras machine-learning neural-network nlp pytorch tensorflow transfer-learning transformers tutorial vae
Last synced: 03 Jul 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/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/vlievin/char-vae
Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.
generative-model rnn rnn-encoder-decoder rnn-tensorflow tensorflow tensorflow-experiments tensorflow-models vae vrae
Last synced: 24 Jul 2025
https://github.com/ben-hayes/southbank_ai
AI music plugins for Ableton Live used in a human-AI performance at London's Southbank Centre
ableton-live ai deep-learning magenta music tensorflowjs vae
Last synced: 17 Mar 2025
