extension ExtPose

AI Code Finder, Alerts, Ask Questions about Papers: CatalyzeX

CRX id


Description from extension meta

🧑‍💻 Get code for AI & other research papers, create alerts, ask authors questions directly on Google, ArXiv, Scholar, PubMed, IEEE

Image from store AI Code Finder, Alerts, Ask Questions about Papers: CatalyzeX
Description from store CatalyzeX's free browser extension instantly finds and shows implementation code for any research papers (AI and more) you may come across while browsing Google, ArXiv, Scholar, Github, PubMed, and other search engines, forums, and scholarly/academic websites. Code for Papers Everywhere: ▶ Browse the web as usual and you'll start seeing [CODE] buttons next to papers everywhere. ▶ These buttons will automatically appear directly on the page for any implementation links found. ▶ Click on any [CODE] button to instantly jump to the open-source implementation and explore! Alert creation: ▶ Click on any bell icon to create an alert for new code for papers/topics, author's newest work, latest developments. Ask authors questions: ▶ Browse the web as usual and you'll start seeing a question box next to papers/articles everywhere. ▶ Type in your question to ask the authors of papers any question you may have! Powered by CatalyzeX.com's repository used by thousands of engineers, researchers, developers, and tech leaders worldwide — to browse algorithms, models, and papers with code for relevant and state-of-the-art developments in artificial intelligence, data science, computer vision, speech recognition, deep learning, and large language models. If you have any feedback/suggestions/requests or run into any issues, please email us at [email protected] anytime. We'd love to hear from you! ____ This extension also works on Opera and UC Browser. Need the Firefox add-on instead? Get it here: https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/ Need the Edge add-on? Get it here: https://microsoftedge.microsoft.com/addons/detail/get-papers-with-code-ever/mflbgfojghoglejmalekheopgadjmlkm ____ *************** CATALYZEX VALUES YOUR PRIVACY *************** When you add CatalyzeX, it says that we can “Read and change all your data on all websites.” That’s only partially true. A more accurate description is that it allows CatalyzeX to insert [CODE] buttons next to any papers and techniques you see directly on the webpage, whenever available. While we’re sure you’re super interesting (especially as you're using CatalyzeX!), we do not have any interest in tracking what you search for, what you buy, etc. It’s just not what we do. At CatalyzeX, we care about privacy just as much as you do. It's core to our decision-making and how we deliver your CatalyzeX experience. Learn more about CatalyzeX’s privacy policy at https://docs.google.com/document/d/e/2PACX-1vRE4yIizuRPSmDzLMRChj12HIX7ypn8qfSeYnE3WHpww2RbJD2A93MHyfdNsySHt_4UGYzFgSZ2a1CY/pub

Latest reviews

  • (2023-11-07) Daniel Darling: Incredibly fast and useful! Must have in our toolkit.
  • (2021-11-19) 朝朝暮暮长安: no code button
  • (2021-09-03) Andrew Z: A very helpful tool! Saves me a lot of time while exploring the research works in the field of ML/AI. Looking forward to see how this extension will evolve in the future!
  • (2021-08-03) Louis-François Bouchard: Love this extension. Super useful for research scientist to get a clear explanation of papers before spending a lot of time reading them.
  • (2021-07-07) Hardik Yadav: Amazing extension that helps you view the code of most machine learning papers :)
  • (2021-06-04) SPACE-X: Super awesome! saves a lot of time, I can just quickly go through the related codework and can see the results directly in the collab.
  • (2021-05-31) Sutharsan Mahendren: make life easier
  • (2021-05-28) Jose M Alarcon: A very handy extension that finds code for you and saves you time when working on papers. Must have for both ML researchers and aficionados!
  • (2021-05-28) sami ul rehman: I am using this extension from the first day of its upload . it helped me a lot to find the code of a specific paper with a single click. I hope to see more interesting features of this extension in its future versions
  • (2021-05-07) Hubert Lin: Absolutely no difference from just googling yourself...
  • (2021-02-07) Lua Ha: 这个确实很实用!
  • (2021-01-29) Dominique De beul: Nice extension, really helpfull for looking codes on scientist papers. Great job !!!
  • (2020-11-18) 黄新平: Good job! Give me five.
  • (2020-11-03) Fang Nan: 超级奈斯
  • (2020-10-25) Ryu Asuka: However most papers do not have code...
  • (2020-10-22) 李俊鹏: it is not useful
  • (2020-10-18) xinze wu: great, extremely useful
  • (2020-09-20) Aryan Pandey: NIce tool to have. Saved a lot of time for me!!
  • (2020-09-14) Adam Hibble: Handy little extension.
  • (2020-08-22) Siddharth Shrivastava: Amazing Application !
  • (2020-07-12) Nicole Lontzek: Very useful extension. It saves a lot of time while doing your research. I appreciate it. Good job!
  • (2020-07-04) Justin Lopinski: Really useful extension for finding precisely what you need. Saves a lot of time trying to find code manually.
  • (2020-07-03) Samarth Sandeep: Really neat tool! Bear in mind it only works for papers that do have code/github links, and not for those without. A great next step would be matching papers who don't have the code/github but say they reference some type of coding framework with some of the actual code.
  • (2020-07-03) Kashish Gupta: This is huge for me, reproducing the results I found in papers used to take me hours because the code was impossible to find. Now I just use Catalyze and I can fork the code right away!
  • (2020-07-02) Ashish Kumar: Wow! This is really amazing and very useful :)
  • (2020-07-02) rahul nagraj: Great for ML research!
  • (2020-07-01) Gilad Penn: Fantastic product, that helps me get through my research. Really easy to use, would highly recommend.
  • (2020-07-01) Just what I needed when looking through research!
  • (2020-07-01) Ahmad Emad: Very convenient to use and replaces a lot of manual work!
  • (2020-07-01) Nicholas Donahue: Super helpful with reducing my time to build!
  • (2020-07-01) Syed Ahmed: Holy moly, ravioli. I recently started learning about data science / machine learning and I was sifting through tonnes of different papers to find what I was looking for. This extension gets it to me in literally one click ... How do I buy these guys a coffee?
  • (2020-07-01) Tejas Manohar: This is awesome! I used to spend hours doing this manually
  • (2020-07-01) Jieren Chen: Super useful! Really helps me out in my ML research
  • (2020-07-01) Jorg Doku: Excellent tool. Extremely convenient for my day to day work.
  • (2020-07-01) melissa drover: Amazing tool! Makes it really convenient for me!

Latest issues

  • (2021-02-13, v: Милош П: Search engine support
    It would be awesome if the extension worked on other search engines like DuckDuckGo.


50,000 history
4.7288 (59 votes)
Last update / version
2024-06-12 /
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