Use the extension to find code suggestions when you are browsing research papers in arxiv.org or Google Scholar.
To use it in Google Scholar, follow these steps after installation:
1. Go to scholar.google.com
2. Type 'deep learning' or any other search phrase
3. Next to some of the titles, you will see a [code] link.
4. Follow the link to see code for that research paper
To use it in arxiv, follow these steps after installation:
1. Go to arxiv.org
2. Type 'deep learning' or any other search phrase in search box
3. Next to some of the titles, you will see a [code] link.
4. Follow the link to see code for that research paper
5. In arxiv, you will also see the code links in individual pages of papers. For example visit https://arxiv.org/abs/1506.01497 . There will be a link next to the title pointing to the code
Extore is a team of professionals who are passionate about creating extensions for web browsers. This devotion also gives us opportunity to appreciate work of other people. We get inspired by useful, open source extensions made by developers all over the world. Our strong belief is that one should share helpful add-ons with others. That’s why we’d like to present you our ever-growing list of favourite extensions that have inspired us. Moreover, as you probably have already learned, sometimes struggling for the best brings an end to the good. Talking about add-ons it often turns out that an upgrade is worse then previous version. Also it can become really tricky to get back to the beloved version of your favourite extension. That’s why we’re going to make not only the latest, but all versions of our favourite (and we hope yours too) add-ons available for download. No more compromises, just stick to the version you really like!
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