Popular GitHub Repositories for Variational Bayes

100 Days of ML Coding

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.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

Collection of generative models in Tensorflow

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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

Gaussian processes in TensorFlow

Text Classification Algorithms: A Survey

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.

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