The goal is to store notes (e.g., markdown files, code notebooks, programs, and applications) related to various machine learning papers, presentations, tutorials, classes, and books.
At the top level of the repository there is a folder for papers (paper/
), presentations (prez/
), tutorials (tutor/
), classes (class/
), and books (book):
βββ README.md
βββ book
βββ class
βββ paper
βββ prez
βββ tutor
In each of the folders there are sub folders for specific papers (MLP#/
), presentations (MLS#/
), tutorials (MLT#/
), classes (MLC#/
), and books (MLB#/
):
βββ README.md
βββ book
β βββ MLB1
β βββ MLB2
βββ class
β βββ MLC1
β βββ MLC2
βββ paper
β βββ MLP1
β βββ MLP2
βββ prez
β βββ MLS1
β βββ MLS2
βββ tutor
βββ MLT1
βββ MLT2
Finally, in each of the sub folders there is a README (mlb1.md) describing the information source and notes created from the information source:
βββ README.md
βββ book
β βββ MLB1
β β βββ chap1
β β βββ mlb1.md
β βββ MLB2
β β βββ chap1
β β βββ mlb2.md
β βββ MLB3
β βββ chap1
β βββ mlb3.md
βββ class
β βββ MLC1
β β βββ mlc1.md
β β βββ topic1
β βββ MLC2
β β βββ mlc2.md
β β βββ topic1
β βββ MLC3
β β βββ mlc3.md
β β βββ topic1
β βββ MLC4
β β βββ mlc4.md
β β βββ topic1
β βββ MLC5
β βββ mlc5.md
β βββ topic1
βββ paper
β βββ MLP1
β βββ MLP2
βββ prez
β βββ MLS1
β βββ MLS2
βββ tutor
βββ MLT1
βββ MLT2