variational-inference topic

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

matthewvowels1

Boltzmann Machines in TensorFlow with examples

yell

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

hoangcuong2011

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

neka-nat

Gaussian processes in TensorFlow

GPflow

Seminars DeepBayes Summer School 2018

bayesgroup

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

SimonKohl

Lecture notes on Bayesian deep learning

sjchoi86

Statistical Rethinking (2nd ed.) with NumPyro

fehiepsi

Statistical Rethinking (2nd Ed) with Tensorflow Probability

ksachdeva