Jeffrey Antony

@jeffrey_antony

Electronics Engineer from India who loves - Electronics, Open Source Software, Artificial Intelligence and German language

Kerala,India   / Stuttgart,Germany  
Vrijeme pridruživanja: prosinac 2008.

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  1. prije 9 sati

    A Visual Introduction to DSP for SDR by

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  2. proslijedio/la je Tweet
    22. sij

    Table Detection and Extraction Using Deep Learning

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  3. proslijedio/la je Tweet
    16. sij

    To advance your career, think of yourself as a business | Science | AAAS

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  4. 14. sij

    CARLA Open-source simulator for autonomous driving research

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  5. 2. sij

    Finished reading the "Netflix" book. Got an insight about how Netflix solved logistics, how to bring customers back, how to stick with core business concept and also how startups work.

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  6. 29. pro 2019.
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  7. 28. pro 2019.

    Think DSP Digital Signal Processing in Python

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  8. 27. pro 2019.
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  9. 23. pro 2019.

    New blog post: Keeping Your Knowledge Updated

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  10. proslijedio/la je Tweet
    17. stu 2019.

    Made up a set of rules and rolled some dice to decide how this plant would grow. I never did get that five of a kind, as expected, but I was still hopeful! 🌱🍀🌿

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  11. proslijedio/la je Tweet
    14. stu 2019.

    One of the best articles I've ever read on . Unpacks the highlights from 20 yrs of Shareholder letters, and going thru the Takeaways/Challenges/Solutions on many topics.

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  12. 9. stu 2019.
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  13. proslijedio/la je Tweet
    1. lis 2019.

    how indexes make your queries fast

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  14. proslijedio/la je Tweet
    22. ruj 2019.

    A look at the microarchitecture of the neural processing unit inside Tesla's full self-driving (FSD) chip.

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  15. 21. ruj 2019.
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  16. proslijedio/la je Tweet
    16. ruj 2019.
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  17. proslijedio/la je Tweet
    15. ruj 2019.

    Get Started Making Music

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  18. proslijedio/la je Tweet
    14. kol 2019.
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  19. proslijedio/la je Tweet
    30. srp 2019.

    A Programmer’s Regret: Neglecting Math at University by my teammate Walter 🔥

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  20. proslijedio/la je Tweet

    Lyft open-sourced their autonomous driving dataset from its Level 5 self-driving fleet. - 55k human-labeled 3D frames - 7 cameras, 3 lidars - HD spatial semantic map: lanes, crosswalks, etc - Drivable surface map

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