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  • Irregularity-Aware Graph Fourier Transforms keyboard_arrow_right

    This post is the summarization of the paper “Irregularity-Aware Graph Fourier Transforms” by Benjamin Giroult, Antonio Ortega, and Shrikanth S. Narayanan.

    May 19, 2019 - 7 minute read -
  • Code snippets for pytorch keyboard_arrow_right

    I am switching to pytorch and here are some piece of code that I think will be useful to copy-paste later.

    January 4, 2019 - 12 minute read -
  • Szemeredi's Regularity Lemma keyboard_arrow_right

    Terence Tao revisited the Regularity Lemma.

    November 2, 2018 - 8 minute read -
    Extremal Graph Theory Mathematics
  • Tensorizing Recurrent Neural Nets keyboard_arrow_right

    This post is the summarization of the paper “Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning” by Zhen He, Shaobing Gao, Liang Xiao, Daxue Liu Hangen He, and David Barber. Published as a conference paper at NIPS 2017, Long Beach, CA, USA.

    February 2, 2018 - 8 minute read -
  • Introducing chalk keyboard_arrow_right

    Chalk is a high quality, completely customizable, performant and 100% free blog template for Jekyll.

    December 23, 2017 - 2 minute read -
    Web Jekyll
  • How to configure Chalk keyboard_arrow_right

    Learn more about the config file for Chalk and how to set it up properly.

    December 22, 2017 - 5 minute read -
    Web Jekyll
  • Chalk sample post with all elements keyboard_arrow_right

    Have a look at all the predesigned elements you can use in Chalk.

    December 21, 2017 - 2 minute read -
    Design Jekyll
  • Deep compression case study - AlexNet keyboard_arrow_right

    In this post, we study the result of Song Hans' work on AlexNet.

    May 5, 2017 - 7 minute read -
  • GPU Programming Notes - Part 1 keyboard_arrow_right

    May the 4th be with you.

    May 4, 2017 - 7 minute read -
  • Install caffe-GPU on Ubuntu-16.04 keyboard_arrow_right

    In this tutorial we install the Caffe version 1.0.0-rc5 from source (check the Makefile for the Caffe version).

    March 30, 2017 - 4 minute read -
  • Finding Lane Lines on the Road keyboard_arrow_right

    p1-lanelines on Github

    February 26, 2017 - 6 minute read -
  • Network Motifs keyboard_arrow_right

    This post contains some of my short articles and reading list about network motif and its application.

    January 1, 2017 - 4 minute read -
  • Mini project - Predicting Boston housing price keyboard_arrow_right

    Dataset: Boston housing

    December 15, 2016 - 18 minute read -
  • Mini project - Titanic survivors prediction keyboard_arrow_right

    Dataset: Titanic survival

    December 9, 2016 - 12 minute read -
  • Principal Component Analysis keyboard_arrow_right

    The Principal Component Analysis (PCA) is a technique used in many fields: data science, signal processing, mechanics, etc. As a student of machine learning, I should take sometime to at least review this technique; and maybe ICA too, in some future posts.

    November 28, 2016 - 2 minute read -
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Opinions are my own. Hoang NT, 2020.