Compilation of my deep learning projects

Hi guys,
I am Vaisakh, an alumnus of this course.

First of all, I’d like to thank Jeremy and Rachel for doing this :pray:
You are an inspiration to all of us.

Thanks to all you guys as well :smile:.
This awesome, friendly community has always been a pillar of strength in the tough times.

Today, I thought I’d give back.
Nothing much. I just wanted to share with you the projects that I’ve been doing over the course of my learning in the last few months.

This repo includes implementations of various papers, some crazy thought experiments, Kaggle competitions and silly ideas.

Note, however, that since these were written hacked together and compiled simultaneously, a lot has been left out.

Specifically, some of the notebooks are either not working or broken. This may be due to package errors (I’ve defined a few global functions that I’ve collected into a module), or deprecation.

Almost all of the notebooks have little documentation but I hope the code is well-written.

I plan to polish these projects (and future ones) into standalone repos and create blog posts and videos around them.
I would appreciate it if you could take a glance at it.

Thanks again, everyone.


Thanks, if you make a list of papers/description of projects more visible that would be incredibly helpful.

@svaisakh This is excellent work. And Thank You for sharing .

Thanks Renjith.
I was kinda worried no one would like it so I kept it private all this while.

Thanks Keane :slight_smile:

Point noted.