SoftVC VITS Singing Voice Conversion
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Updated
Nov 11, 2023 - Python
SoftVC VITS Singing Voice Conversion
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Gaussian processes in TensorFlow
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Seminars DeepBayes Summer School 2018
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Boltzmann Machines in TensorFlow with examples
Awesome resources on normalizing flows.
Lecture notes on Bayesian deep learning
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
PyTorch implementation of normalizing flow models
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Collection of probabilistic models and inference algorithms
Statistical Rethinking (2nd ed.) with NumPyro
CmdStanR: the R interface to CmdStan
GPstuff - Gaussian process models for Bayesian analysis
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
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