My approach to CS224w [AT] Stanford 2019fall -- Machine Learning with Graphs. 💡

One of many my self-studied courses. You can also check out some of them via belowing links:

• CS229 Machine Learning, Stanford
• CS224n Natural Language Processing with Deep Learning, Stanford

It's the open Internet and the great and kind minds that makes a glance at the beautiful knowledge world possible for us navigators.

Thousand Thanks to those kind and cool people!

[Disclaimer] For students who are taking this course, you have to be responsible for yourself and obey the Honor Code not to refer this repo.

This repo records my solutions to assignments and projects of CS224w [AT] Stanford 2019fall.

The main referred materials are:

• course web page
• online available book
• snap lab class notes

You can open a new issue or send me an email if you find any mistakes.

• [Done] HW0 😄
  • problem set: hw0.pdf
  • code: solution.py
  • report: solution.pdf
• [Done] HW1 😄
  • problem set: hw1.pdf
  • code:
    • q1_solutiopn.py
    • q2_solutiopn.py
  • report: solution.pdf
• [Done] HW2 😄
  • problem set: hw2.pdf
  • q1: q1_solution.py
  • q4: q4_solution.py
  • report: solution.pdf
• [Done] HW3 😄
  • problem set: hw3.pdf
  • q1: q1_solution.py
  • q3: q3_solution.py
  • report: hw3_solution.pdf
• [IMPORTANT NOTATION] Sorry for the slow progress due to larger amount of work for now. Expected finish date will not be later than July, 2020 August, 2020. 😄 Finished on 20 Aug 2020. Welcome to send me an email whenever you find any problems or want to discuss something with me.

Welcome to check out \vscode_settings for my personally favourable settings of vscode
VS Code
Python 3.7.3
PyTorch
SNAP-Stanford
Tex Live 2018