Inferences for Deep Gaussian Process models in Pyro

deep learning
gaussian process
pytorch
pyro
In this tutorial, I want to illustrate how to use Pyro’s Gaussian Processes module to create and train some deep Gaussian Process models. For the background on how to use…
May 15, 2019

Sampling Hidden Markov Model with Pyro

bayesian
hidden markov model
pytorch
pyro
To understand the multimodal phenomenon of unsupervised hidden Markov models (HMM) when reading some discussions in PyMC discourse, I decide to reimplement in Pyro various mo…
Jan 1, 2019
 

Solutions to Project Euler’s second 50 problems

algorithm
project euler
python
numba
These are codes to solve the second 50 problems in Project Euler. These python codes will give solutions in less than 1 second. This is achieved by using the excellent numba …
Oct 12, 2017
 

How to build a Grapheme-to-Phoneme (G2P) model using PyTorch

deep learning
seq2seq
pytorch
torchtext
Grapheme-to-Phoneme (G2P) model is one of the core components of a typical Text-to-Speech (TTS) system, e.g. WaveNet and Deep Voice. In this notebook, we will try to…
Jun 15, 2017
 

Some solutions to Rudin’s complex analysis book

math
complex analysis
jupyter
katex
The following notebook contains some solutions to the complex analysis part of the Big Rudin book that I studied at POSTECH. This post is also a chance for me to test the…
Sep 4, 2016
 

Solutions to Project Euler’s first 50 problems

algorithm
project euler
python
numba
These are codes to solve the first 50 problems in Project Euler. The thing is that I try to make these python codes give solutions in less than 1 second. This is achieved by…
Jul 6, 2016
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