CatalyzeX automatically finds and shows code implementations for machine learning research papers with code directly on Google, Arxiv, Scholar, Twitter, and many other sites. It adds links to open-source code so you can dive right into it and start building.
Very cool! I just tested it with some papers we are currently implementing and it confirmed the existence of some implementation that took us hours to confirm. Wish I'd have found it earlier!
How well does the 'Ask an Expert' side of things work? Are you able to connect with most of the authors?
@pj_mukh thank you, that's amazing to hear! Glad it helped you. :) Please do share with friends and colleagues who'll find it useful too!
Yes, the ability to connect with authors also works fairly well and is something we've been testing recently. Let me know your thoughts/use case and we can explore further on it!
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First of all, this is really cool. However, I'd like to shout out what a brilliant human being that Gaurav is. I know Product Hunt might not be the ideal platform to discuss founders, but I think it's important, especially now, to highlight the ethics and quality of founders. Gaurav is a superstar of a guy.
Hi PH fam!
Just shipped something many of us interested in machine learning/AI will find super handy.
CatalyzeX is a browser extension (and website) that bridges the gap between research and the builders & makers of the world who create with code. The Chrome and Firefox extension automatically finds and shows links to open-source code implementations for machine learning papers anywhere on the web!
So whenever you come across interesting papers while browsing Google, Twitter, Arxiv, Scholar, or other sites, you can easily see links to any code implementations.
Previously, often times we've seen that code isn't linked by authors/researchers, requires a bunch of digging around, or worse, just may not even be publicly shared. This extension makes it super quick and easy to check out official or community-driven code implementations for cutting-edge machine learning R&D anywhere you stumble upon it.
So you can jump right away into experimenting and building -- and pushing the boundaries even further :)
Do install & try the extension and let us know what you think! Comments/feedback/requests are all highly appreciated.
Thanks!
@gaurav_ragtah and @himanshu_ragtahwww.CatalyzeX.com
Been testing this out, it's a really easy and intuitive way to find open source ML code while preserving your existing research flow. Congrats on the launch Gaurav!
@yasoobkhalid Thanks Yasoob and def reach out anytime with feedback etc.! :)
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This product is a productivity booster for researchers and ml engineers alike. On top of that I've known Gaurav for several years professionally; he's bright, professional and a great human being! I'm sure this product is amazing as all the previous products built by him and his team.
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