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  • šŸ‘‹ Hi, Iā€™m @askarmel (Sophie)
  • šŸ‘€ Iā€™m interested in Machine Learning and AI
  • šŸŒ± Iā€™m currently learning how to deploy Machine Learning at scale (traditional ML, deep learning models, realtime inference & big data, security and onshore/offshore models, monitoring and continuous learning, ...)
  • šŸ’žļø Iā€™m looking to collaborate on innovative approaches that help to keep things simple, maintainable and cost effective. I am also happy to support Women in ML.
  • šŸ“« How to reach me: code contributions, twitter, email, MLOps community on Slack (@askarmel)

Sophie's Projects

algo-trading icon algo-trading

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

asianoption icon asianoption

Pricing of Asian options in C++ with Monte Carlo Simulation

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dmls-book icon dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

dsnd_term2 icon dsnd_term2

Contains files related to content and project of DSND Term 2

fecon235 icon fecon235

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

finbert icon finbert

Financial Sentiment Analysis with BERT

informer2020 icon informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

llama icon llama

Inference code for LLaMA models

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