-
Updated
Jun 12, 2020 - Jupyter Notebook
vae-pytorch
Here are 87 public repositories matching this topic...
A Variational Autoencoder in PyTorch for the CelebA Dataset
-
Updated
Nov 1, 2023 - Python
-
Updated
Jul 18, 2023 - Python
Some mini-projects using well known datasets to practice important deep learning concepts.
-
Updated
Apr 2, 2024 - Python
Pytorch implementation of a Variational Autoencoder (VAE) that learns from the MNIST dataset and generates images of altered handwritten digits.
-
Updated
Jan 10, 2023 - Jupyter Notebook
Variational Autoencoder using the MNIST dataset. Also included, is an ANN and CNN for MNIST as well. Coded in Python, uses PyTorch
-
Updated
Aug 24, 2021 - Python
Generating attention maps from resnet50 and densenet using ACDC and EMIDEC dataset
-
Updated
Jan 11, 2022 - Jupyter Notebook
-
Updated
Mar 6, 2022 - Jupyter Notebook
Classical cheminformatics and deep generative models
-
Updated
Jan 25, 2022 - Jupyter Notebook
PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images
-
Updated
Sep 5, 2023 - Jupyter Notebook
SSL (self supervised learning) experiments for machine learning topics course
-
Updated
May 26, 2024 - Jupyter Notebook
Variational Autoencoders. This implements and pokes the original VAE in < 100 lines.
-
Updated
Jun 2, 2022 - Python
Recommender system for songs using different neural networks: MLP, VAE and flow
-
Updated
Nov 28, 2021 - Python
Testing the Reproducibility of the paper: MixSeq. Under the assumption that macroscopic time series follow a mixture distribution, they hypothesise that lower variance of constituting latent mixture components could improve the estimation of macroscopic time series.
-
Updated
Jun 7, 2023 - Jupyter Notebook
This is a simplified implementation of VQ-GANs written in PyTorch. The architecture is borrowed from the paper "Taming Transformers for High-Resolution Image Synthesis".
-
Updated
Aug 18, 2023 - Jupyter Notebook
Variational Autoencoder with PyTorch
-
Updated
Oct 5, 2023 - Python
-
Updated
Dec 28, 2020 - Jupyter Notebook
-
Updated
May 18, 2023 - Jupyter Notebook
Graph-induced Syntactic-Semantic Spaces in Transformer-based VAE
-
Updated
Apr 1, 2024 - Python
Improve this page
Add a description, image, and links to the vae-pytorch topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the vae-pytorch topic, visit your repo's landing page and select "manage topics."