#Vae
Showing 39 of 39 repositories tagged #vae, ranked by stars
Machine learning, in numpy
A Collection of Variational Autoencoders (VAE) in PyTorch.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Advanced Deep Learning with Keras, published by Packt
Vector Quantized VAEs - PyTorch Implementation
List of Molecular and Material design using Generative AI and Deep Learning
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
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Minimalist implementation of VQ-VAE in Pytorch
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurIPS'24
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
This project aim to share the knowledge and code concerning generative models, including: GAN, Diffusion, VAE.
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
Comparison of Generative Models in Tensorflow
Protein function prediction using a variational autoencoder
Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens"
Music(Lo-fi) generation using deep learning techniques.
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
A Tensorfflow implementation of Attend, Infer, Repeat
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
<만들면서 배우는 생성 AI 2판>의 코드 저장소
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
MalDataGen is an advanced Python framework for generating and evaluating synthetic tabular datasets using modern generative models, including diffusion and adversarial architectures.
An experiment in VAE-based artistic style transfer by embedding fiddling.
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Implementation of mutual learning model between VAE and GMM.
Official repo for 'Generating Physically-Consistent Satellite Imagery for Climate Visualizations'
Dirichlet-Variational Auto-Encoder by PyTorch
A narrative and technical exploration of data authenticity through the four pillars of synthetic data realism, Fidelity, Coverage, Privacy, and Utility. This thought-leadership piece combines storytelling, mathematics, and code to explain how these metrics define the ethical and functional “soul” of data in AI systems.