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Hi šŸ‘‹, I'm Filipe Milani de Souza

HPC, Information Technology, Data Scientist, Artificial Intelligence Researcher and GPU Programmer

filipemilani

  • šŸ”­ Iā€™m currently working on Embraer

  • šŸŒ± Iā€™m currently learning Computational Modeling

  • šŸ”­ Iā€™m looking to collaborate on Data Science and AI

  • šŸ“ Published Articles:

https://aiperspectives.springeropen.com/articles/10.1186/s42467-021-00011-0?fbclid=IwAR0SymEbT1egNfdMs-qVZhlS1-5ZP74oOGLj9sHDPcDhYOjvZyVAffZUKRk

https://link.springer.com/article/10.1007/s00024-022-03114-9

http://www.jbth.com.br/index.php/JBTH/article/view/211

http://www.jbth.com.br/index.php/JBTH/article/view/210

https://www.proceedings.blucher.com.br/article-details/feasibility-analysis-on-the-construction-of-a-solution-for-monitoring-and-hydrometeorological-forecasting-35659

  • šŸ’¬ Ask me about AI, HPC, GPU and Technology

  • šŸ“« How to reach me

[email protected]

[email protected]

Connect with me:

https://www.linkedin.com/in/filipemilanidesouza/

Languages and Tools:

aws c cplusplus docker gcp git hive linux mysql opencv oracle php python pytorch scikit_learn tensorflow

filipemilani

filipemilani

Filipe Milani de Souza's Projects

cfdpython icon cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cuda-samples icon cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

deeplearningexamples icon deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

devito icon devito

Code generation framework for automated finite difference computation

fourcastnet icon fourcastnet

Initial public release of code, data, and model weights for FourCastNet

lazypredict icon lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

ldl icon ldl

Learning Deep Learning

lnn icon lnn

A `Neural = Symbolic` framework for sound and complete weighted real-value logic

nasa_arset_ml_fundamentals icon nasa_arset_ml_fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

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