debtanu177 / CVAE_MNISTLinks
Conditional VAE using CNN on MNIST in PyTorch
☆19Updated 5 years ago
Alternatives and similar repositories for CVAE_MNIST
Users that are interested in CVAE_MNIST are comparing it to the libraries listed below
Sorting:
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆100Updated last year
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆62Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- ☆70Updated 2 years ago
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆20Updated 2 months ago
- VAEs and nonlinear ICA: a unifying framework☆35Updated 4 years ago
- Python scripts for our model described in http://proceedings.mlr.press/v130/ramchandran21b.html☆10Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆141Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- PyTorch implementation of Variational Diffusion Models.☆82Updated last year
- Code for Diff-SCM paper☆96Updated last year
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆130Updated 10 months ago
- ☆23Updated 3 years ago
- Pytorch implementation for VAE and conditional VAE.☆36Updated 4 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆127Updated 2 years ago
- Score-based generative models for compact manifolds☆110Updated last year
- ☆38Updated 4 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- The official PyTorch implementation for NCSNv2 (NeurIPS 2020)☆306Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 3 months ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models☆28Updated 2 months ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.☆74Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆146Updated 3 years ago