Hamel Husain

@HamelHusain

Staff Machine Learning Engineer , Previously , . Building smarter developer tools powered by ML.

Vrijeme pridruživanja: rujan 2012.

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  1. Prikvačeni tweet
    26. ruj 2019.

    📢 is releasing a large dataset for natural language processing and machine learning. It's a large parallel corpus of code and natural language, with benchmarks on IR tasks. Leaderboard is hosted by :

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  2. proslijedio/la je Tweet
    5. velj

    termpair is a way to broadcast your terminal and let it be remotely controlled from a browser. Built using Python, 's FastAPI, , and xtermjs. Try it out: pipx run termpair serve Then in another terminal run: pipx run termpair share -a

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  3. proslijedio/la je Tweet
    4. velj

    Interested in helping build the most awesome blogging platform around? Then please come help me and as we create `fastpages` together.

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  4. proslijedio/la je Tweet
    28. sij

    Published fast_neptune, a Python package to make experiments reproducible, using ! By simply adding or to cells, codes and variables can be recorded ! Thanks for nbdev ! Article here or

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  5. proslijedio/la je Tweet
    21. sij

    I wrote a piece on Altair and the software stack it is built on. Enjoy!

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  6. proslijedio/la je Tweet
    28. sij

    "I don't use Jupyter notebooks much because I run remotely for long times & there's no good way to 'nohup' them." <-- Me until pointed out 's VNC trick during Lesson 10. Video: . Discussion:

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  7. proslijedio/la je Tweet
    27. sij

    Huge contribution to fast_template from : you can now write your blog posts in Word or Google Docs (including images), put them in the _word folder, and they'll appear in your blog! Nothing to install. No code to write. No ads. And its free.

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  8. 26. sij

    Protip I recently learned from : When you discover a bug in a Python open-source project, reproduce the bug in a notebook (if possible) and include a link to this in a GitHub Issue. I'm going to try this next time I open an issue!

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  9. proslijedio/la je Tweet
    24. sij

    I have thought about these two paragraphs so many times over the years. Huge thanks to for finding the source.

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  10. 25. sij

    Also, I learned first hand that the project is very welcoming to new contributors. fastai/nbdev allows source code, unit tests, and documentation to live together in a coherent format. Recommend trying it for the experience if nothing else!

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  11. 25. sij

    This is the blogging platform I've always wanted as a data scientist: - Visualizations made in remain interactive! - to blog w/ 1 click - Markdown shortcuts for styling and customization - No nagwalls/paywalls - FREE

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  12. proslijedio/la je Tweet
    25. sij

    Wonderful contribution to fast_template from - there is now a `_notebooks` folder; put any notebook there, and it'll automatically be turned into a blog post using Actions. No installation required; just click and go!

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  13. 21. sij

    I wasn't aware of SHAP before, but I'm a really big fan, now. The Shap library produces beautiful visualizations as well, and is actively maintained!

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  14. 21. sij

    Highly recommend 's Machine Learning Explainability course. One of the many gems in this course is the tutorial on SHAP and the accompanying code. Its a brief set of tutorials in notebooks, but very worthwhile:

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  15. proslijedio/la je Tweet
    20. sij

    How to create interactive web pages within Pages! (thread)

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  16. 19. sij

    Has anyone figured out how to embed *HTML* versions of Jupyter Notebooks in Jekyll-based blogs for GitHub Pages so that notebook widgets/charts can remain interactive in a blog? More detailed context around my question here:

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  17. 17. sij

    This is great b/c: - Uses defaults that avoid Jekyll compatibility problems - Almost instant build time - Edit directly on GitHub; no CLI needed When I use fancy themes & plugins, I often regret that choice. This is a time-saving route for many people.

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  18. 10. sij

    For those who have ignored fastai until now: start watching this video and makeup your mind for yourself. Improved usability, modularity, best practices, apis and docs, as well a new revolutionary development workflow w/ Jupyter. by

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  19. proslijedio/la je Tweet
    9. sij

    Great talk by about pandas speed. Check this out if you are tempted to .apply with pandas 🐼🚀

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  20. proslijedio/la je Tweet
    7. sij

    I completed my 1st data science project ~30 years ago. Since then I've been continuously developing a questionnaire I use for all new data projects, to ensure the right info is available from the start. I'm sharing it publicly today for the first time.

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  21. proslijedio/la je Tweet
    4. sij
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