Collection of generative models in Tensorflow
Notebooks about Bayesian methods for machine learning
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurI...
PyTorch implementation of various methods for continual learning (XdG, E...
My first Python repo with codes in Machine Learning, NLP and Deep Learni...
Deep probabilistic analysis of single-cell and spatial omics data
Variational autoencoder implemented in tensorflow and pytorch (including...
Next RecSys Library
"Deep Generative Modeling": Introductory Examples
Experiments for understanding disentanglement in VAE latent representations
A curated list of awesome work on VAEs, disentanglement, representation ...
PyTorch implementation of normalizing flow models
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Variational Autoencoder and Conditional Variational Autoencoder on MNIST...
Variational autoencoders for collaborative filtering