AndrewSpano / Disentangled-Variational-AutoencoderLinks
PyTorch Implementations of a VAE and a beta-VAE.
☆60Updated 5 years ago
Alternatives and similar repositories for Disentangled-Variational-Autoencoder
Users that are interested in Disentangled-Variational-Autoencoder are comparing it to the libraries listed below
Sorting:
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆149Updated last year
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆143Updated 2 years ago
- A toy example of VAE-regression network☆74Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆86Updated 7 years ago
- A simple tutorial of Variational AutoEncoders with Pytorch☆429Updated last year
- VAE for color images☆211Updated 4 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 4 months ago
- PyTorch implementation of bayesian neural network [torchbnn]☆552Updated last year
- A hello world Bayesian Neural Network project on MNIST☆53Updated 3 years ago
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆127Updated 2 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆132Updated 2 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆70Updated 5 years ago
- PyTorch Code used in 'Introduction to Deep Generative Modeling'☆54Updated 4 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆153Updated 4 years ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆140Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆470Updated 5 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- ☆31Updated 3 years ago
- ☆18Updated 2 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 5 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆508Updated 4 years ago
- Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆253Updated 5 years ago
- Bayesian Methods for Machine Learning☆65Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆40Updated 5 years ago
- Continuous Conditional Generative Adversarial Networks (CcGAN)☆130Updated 3 months ago
- Pytorch implementation for VAE and conditional VAE.☆38Updated 5 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- ☆25Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago