JeanClaudeR's repositories

6S083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

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algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

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COVID19_Trends_by_Age

Dashboard of COVID-19 trends, by age groups. Worldwide data, sometimes with region scale, values of Deaths, Cases and Tests

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Julia_exploration

Exploration of Julia language

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ARTHUR_Mini_projet_python_scor

Arthur Lubrez min project in Python

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computational-thinking

Course 18.S191 at MIT, Fall 2023 - Introduction to computational thinking with Julia

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cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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cookiecutter-easydata

A flexible template for doing reproducible data science in Python.

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d6tstack

Quickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet

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dataviz

Data visualization guide for presentations, reports, and dashboards

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dataviz_training

Code for training for Institut des Actuaires "Quel(s) outil(s) pour de la visualisation de données efficiente

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DELPHI

DELPHI: The Epidemiological model underlying COVIDAnalytics

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dileep-kishore

My GitHub profile

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General

The official registry of general Julia packages

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INSIGHTProgress

Dashboard for INSIGHT-ICU study monitoring.

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IPOD

A Corpus of 475,000 Industrial Occupations

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JeanClaudeR

No so secret

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KILLIAN_Scor_Project_Python

Python project by Killian Le Métayer

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learn4haskell

👩‍🏫 👨‍🏫 Learn Haskell basics in 4 pull requests

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ml-readings

A list of papers / videos / tutorials / blog posts on machine learning

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ML-Recipes

A collection of stand-alone Python machine learning recipes

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ml101

intro to machine learning - reverse engineering phenomena

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python-monorepo-example

Example of a python monorepo using pip, the poetry backend, and Pants

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rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

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streamlit

Streamlit — The fastest way to build data apps in Python

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streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

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unit-testing-seminar

Unit Testing for Reproducible Science seminar at Sloan Kettering

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VMLS-Companions

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

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