💻 Get implementation code for machine learning / AI research papers directly on Google Search, ArXiv, Scholar, Twitter, Github ...
CatalyzeX's free browser extension instantly finds and shows implementation code for any research papers you may come across while browsing Google, ArXiv, Scholar, Reddit, IEEE, and many more search engines, forums, and scholarly/academic websites.
▶ 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!
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 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 firstname.lastname@example.org anytime.
We'd love to hear from you!
This extension also works on Microsoft Edge, Opera, and UC Browser.
Need the Firefox add-on instead? Get it here: https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/
*************** 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.