Popular GitHub Repositories for Variational Risk Bound

SoftVC VITS Singing Voice Conversion

The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.

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

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

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

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Gaussian processes in TensorFlow

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.

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

Awesome resources on normalizing flows.

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

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

ARCH models in Python

"Deep Generative Modeling": Introductory Examples