Denis Prokopenko's repositories
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Language:Jupyter NotebookMIT000
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Language:PythonMIT000
esphome-docs
Source for esphome.io documentation files.
Language:PythonNOASSERTION000
torchsparsegradutils
A collection of utility functions to work with PyTorch sparse tensors
Language:PythonApache-2.0000