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58 followers · 20 following

Achievements

Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

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Organizations

@ECMWFCode4Earth @quantum-matter @wikilimo @q-optimize @Qruise-ai
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lazyoracle/README.md

Hi. I am Anurag 👋

Chief Product Officer at Qruise, building Machine Learning tools for Science. Previously Quantum Control Researcher at Saarland University & Forschungszentrum Jülich and Cold-Atoms Experimentalist at CQT-NUS and Atomionics.

Twitter: anuragsaharoy Linkedin: anuragsaharoy Website

  • 👨‍💻 OSS work:
    • C3 - An Integrated toolset for Control, Calibration and Characterization of Quantum Devices
    • deepGEFF - A Deep Learning system for modelling wildfire behaviour
    • ml-fuel - An ML toolkit for predicting fuel load in wildfire modelling
  • 📫 How to reach me: contact [AT] anuragsaharoy [DOT] me

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  1. q-optimize/c3 q-optimize/c3 Public

    Toolset for control, calibration and characterization of physical systems

    Python 64 36

  2. ECMWFCode4Earth/wildfire-forecasting ECMWFCode4Earth/wildfire-forecasting Public

    Forecasting wildfire danger using deep learning.

    Jupyter Notebook 49 10

  3. ecmwf-projects/ai-vegetation-fuel ecmwf-projects/ai-vegetation-fuel Public

    Predicting Fuel Load from earth observation data using Machine Learning

    Jupyter Notebook 14 5

  4. optim-benchmark optim-benchmark Public

    Benchmarking gradient free optimisers on custom synthetic functions to study effects of noise and high dimensions

    Python 1

  5. vhdl-processor vhdl-processor Public

    An 8-bit processor in VHDL based on a simple instruction set

    VHDL 5

  6. nucleo-expt nucleo-expt Public

    Experiment Control system using Embedded C++ with ARM mbed OS on STM32 Nucleo boards

    C++