Popular GitHub Repositories for Variational Autoencoders

SoftVC VITS Singing Voice Conversion

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A Collection of Variational Autoencoders (VAE) in PyTorch.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Collection of generative models in Tensorflow

[CVPR2020] Adversarial Latent Autoencoders

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Gaussian processes in TensorFlow

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Deep learning for recommender systems

Awesome resources on normalizing flows.

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

"Deep Generative Modeling": Introductory Examples

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano