#Variational-autoencoder
Showing 37 of 37 repositories tagged #variational-autoencoder, ranked by stars
Notebooks about Bayesian methods for machine 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.
Deep probabilistic analysis of single-cell and spatial omics data
"Deep Generative Modeling": Introductory Examples
PyTorch implementation of normalizing flow models
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Experiments for understanding disentanglement in VAE latent representations
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Open-AI's DALL-E for large scale training in mesh-tensorflow.
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
Learn Generative AI with PyTorch (Manning Publications, 2024)
Kalman Variational Auto-Encoder
Neatly packaged AI methods for explainable ECG analysis
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
conditional variational autoencoder written in Keras [not actively maintained]
CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure
Protein function prediction using a variational autoencoder
Torch Implemention of ECCV'16 paper: Attribute2Image
An implementation of VAEGAN (variational autoencoder + generative adversarial network).
Awesome De novo drugs design papers
Intuitive guide to multi-omics integration with toy examples: supervised latent components (DIABLO), unsupervised shared/partial/unique structure (DIVAS), VAEs/conditional VAEs, and key baselines (MOFA, JIVE, SNF) with practical tips + code.
Music(Lo-fi) generation using deep learning techniques.
ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
Implementation of a Hybrid Variational Autoencoder (VAE) for label information-guided dimensionality reduction and data synthesis.
[TMLR] A Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
Implementation of mutual learning model between VAE and GMM.
Dirichlet-Variational Auto-Encoder by PyTorch
The materials of the Deep Generative AI Course (2022-until now).
Experiments with Adversarial Autoencoders using Keras
A PyTorch implementation replicating the core logic of FAE (Feature Auto-Encoder) from the paper "One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation" (arXiv:2512.07829).