SoftVC VITS Singing Voice Conversion
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Gaussian processes in TensorFlow
Awesome resources on normalizing flows.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Seminars DeepBayes Summer School 2018
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Boltzmann Machines in TensorFlow with examples
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
PyTorch implementation of normalizing flow models
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Lecture notes on Bayesian deep learning
Statistical Rethinking (2nd ed.) with NumPyro
DGMs for NLP. A roadmap.
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
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