These are mostly bookmarks I have in my browser. I thought they could be helpful to others, so I compiled them here.

For Researchers

Grammarly

Just a great tool !

WordTune

Basically, it paraphrases my sentences into better ones, and I found this one to be very intelligent too.

Distill.pub

Machine Learning researchers should check out this site. There’s no better explanation than what its creators say, “Distill is dedicated to clear explanations of machine learning.”

Connected Papers

For researchers, this is an excellent tool, especially when searching for review articles. Enter the paper title, and you’ll be able to see a beautiful graph of connected papers, as the name suggests!

MathPix

A powerful program for converting math formulas in Image or PDF to Latex.

ML Story

An intuitive explanation of Machine learning for starters.

Online Mathematics Editor

A fast way to write and share mathematics, especially when you don’t have access to LATEX. Also, whenever I need to write some formulas, I first come here and write them, then export them into LATEX. It is a lot easier.

Drawing Diagram

Best tool (langauge) for drawing a diagram, in my humble opinion, is mermaid. You don’t have to use mouse anymore. Just describe what you want and it will render a beatiful diagram. This is also supported in github markdown.

Journal and Conference Ranking

Tools

Advanced Photo Editor

Photoshop-like software for editing purposes. I think It is a fantastic alternative for someone like me who, you know, edits photos once a year! If you want something to use daily, I would recommend Krita.

Postman

You can call any API with postman.

Gitpod

Clipboard Service Online Clipboard Sharing

Just another clipboard service which I use

The official list of applications - ArchWiki

AUR packages for Arch Linux

If you are familiar with Arch Linux, you know that these two are the only sites you need to install any software!

Chaotic AUR

A Useful site which provides compiled files to easily install a package

Useful sites for machine learning

Papers with code

Reviewing current state-of-the-art in machine learning (SOTA)

Trend articles everyday