PyTorch-VAE

VAE models

A collection of Variational AutoEncoder implementations in PyTorch

A Collection of Variational Autoencoders (VAE) in PyTorch.

GitHub

7k stars
43 watching
1k forks
Language: Python
last commit: 5 months ago
architecturebeta-vaeceleba-datasetdeep-learningdfc-vaegumbel-softmaxiwaepaper-implementationspytorchpytorch-implementationpytorch-vaereproducible-researchvaevae-implementationvariational-autoencodersvqvaewae

Related projects:

Repository Description Stars
qubvel-org/segmentation_models.pytorch A PyTorch library for building and training neural networks for image segmentation tasks. 9,696
kefirski/pytorch_rvae A deep learning implementation of a recurrent variational autoencoder for generating sequential data. 357
jmtomczak/vae_vpflows A PyTorch implementation of volume-preserving flows for variational autoencoders. 90
pytorch/pytorch A Python library providing tensors and dynamic neural networks with strong GPU acceleration 83,959
pytorch/examples A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning. 22,428
victoresque/pytorch-template An open-source PyTorch deep learning project template providing a structured environment for building and training various models. 4,754
yunjey/pytorch-tutorial A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage. 30,251
cadene/pretrained-models.pytorch Provides pre-trained PyTorch models for various computer vision tasks and datasets. 9,036
facebookresearch/dinov2 A PyTorch implementation of a self-supervised learning method for learning robust visual features without supervision. 9,211
zllrunning/face-parsing.pytorch Implementation of a face parsing model using PyTorch and a modified BiSeNet architecture. 2,317
amdegroot/ssd.pytorch An implementation of a deep learning-based object detection system in PyTorch. 5,146
fducau/aae_pytorch An implementation of Adversarial Autoencoders using PyTorch for training neural networks on structured data. 198
enhuiz/vall-e An implementation of VALL-E in PyTorch for text-to-speech synthesis 2,964
shayneobrien/generative-models Annotated implementations of various deep generative models using PyTorch 500
pytorch/botorch A PyTorch-based library for Bayesian optimization, providing a modular interface for composing and optimizing probabilistic models. 3,102