Github-Ranking VS CSrankings

5th highest number of stars of any repo on GitHub 🙃

This explains the uneven distribution of Haskell applications, but this does not explain why the distribution is more even in other languages. But is that even the case? You mention Python, and Python happens to be THE language of choice for data science projects, so I would expect to also see an uneven distribution there. And Java happens to be THE language of choice for writing Android applications, so I would expect an uneven distribution there too. And Rust is a systems programming language, so I would expect games and other things that really need to run fast. Let's look at lists of popular projects by language:

The repo I chose was Github-Ranking, a repo to check the most starred and forked GitHub repos of the day. The link can be found here: https://github.com/EvanLi/Github-Ranking. I picked this repo because I've never explored the most popular repos before and this allowed me to see what a lot of people are working on.

Clocking in at 190K Github stars React's github ranking is easily ranked in the top 10.

Here's a few other tools that are written in Perl, sorted by GitHub popularity: https://github.com/EvanLi/Github-Ranking/blob/master/Top100/...

Actually, that repo has lists like this for most languages: https://github.com/EvanLi/Github-Ranking

If you look at csrankings.org, another site used to rank computer science programs, Virginia Tech is actually 51st and George Mason is 32st. While their methodology is also questionable if trying to determine the quality of an undergraduate program, it still demonstrates that ranking lists are not always fantastic at capturing how good an program is. Now, onto my own experiences.

Here is the website im talking about: https://csrankings.org

https://csrankings.org/ is a great resource, but i am wondering if there are any other.

What would be the ideal order for the narrative? I have a couple of professional experiences and a good research project that was accepted at a conference during my senior year. I'm looking for a Master's in CS in the top 15 schools according to csrankings.org.

I think you have a good shot at top 50 schools. Take a look at csrankings.org and see how your profile stacks up against PhD students from other labs. Pay special attention to their records prior to starting their PhD.

I studied CS undergraduate in NTU. At the start of a lecture in Uni, the professor told us QS ranking is bs and the true ranking website is https://csrankings.org

you shouldve mentioned about the scholarship. If money is not an issue, in terms of quality of study you can roughly refer to this: https://csrankings.org

Students find professors from csrankings.org but instead you can just go the the university portal and search the professors there.

The Technical University of Darmstadt, Germany, offers a machine learning master (Info). The program has 4 semesters/2 years, per semester there is a fee of ~260 USD, overall cost of living is dependent on lifestyle and rent, but can be ~800-1000 USD/month. On this ranking (parameter tuning:P) it achieved a world rank of 88, when the masters content is selected.. But of course, this would mean that you will be abroad for 2 years. Also, student workers in CS often get paid 12-16€/h as a salary, with 10-20h/week (which is feasible), you can get roughly 800€/month as income. If you have any questions I am open for it, I have studied Computer Science, Autonomous Systems and Visual Computing at TUDa.