CSrankings
recommenders
CSrankings | recommenders | |
---|---|---|
121 | 6 | |
2,594 | 17,980 | |
- | 1.0% | |
9.7 | 9.5 | |
3 days ago | 11 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CSrankings
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🏫 I need help choosing between Virginia Tech and George Mason for the CS program.
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.
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Is there a website like csrankings but for ee?
Here is the website im talking about: https://csrankings.org
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Gradate School & Computer Vision Research
https://csrankings.org/ is a great resource, but i am wondering if there are any other.
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Chronology order of "Why I'm Qualified Section"
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.
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Profile Evaluation for PhD
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.
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[PSA] NUS Architecture QS Ranking by Subject Claims - A RED FLAG
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
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I'm a rising senior from a foreign country (Kuwait 🇰🇼)
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
- Looking for advice for Master's in a Ivy league school
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I got my visa with a fully funded Master's and Graduate assistantship for the USA despite having 65% in Engineering and the degree completed in 6 years. Ask Me Anything.
Students find professors from csrankings.org but instead you can just go the the university portal and search the professors there.
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[D] Affordable Masters Programs
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.
recommenders
- My kernel dies when I fit my LightFm model from Microsoft Recommenders
- There is framework for everything.
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This Week in Python
recommenders – Best Practices on Recommendation Systems
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Input to SVD, SAR, NMF
I would like to do a benchmarking on the Microsoft models SVD, SAR and NMF (available here: https://github.com/microsoft/recommenders) but with this input data I get a precision and recall close to zero. Any ideas how I can improve this? For SVD and NMF (surprise library) the model wants a rating input that is normally distributed, which it not the case for my binary data where the transactions all have a rating of 1.
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Opinion on choice of model - Recommender System
Then I tried to find some more advanced models and I found this really good list and in there I found the Microsoft one. So it's' where we are now, which a bunch of different models and not a documentation/tutorials out there.
What are some alternatives?
Github-Ranking - :star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名,每日自动更新
metarank - A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
rexmex - A general purpose recommender metrics library for fair evaluation.
azure-devops-python-api - Azure DevOps Python API
ranking - Learning to Rank in TensorFlow
python-minecraft-clone - Source code for each episode of my Minecraft clone in Python YouTube tutorial series.
Research-Internships-for-Undergraduates - List of Research Internships for Undergraduate Students
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
torchsort - Fast, differentiable sorting and ranking in PyTorch
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
getting-a-gig - Guide for getting a gig as a tech student.
Google-rank-tracker - SEO: Python script + shell script and cronjob to check ranks on a daily basis