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  • šŸ‘‹ Hi, Iā€™m @Thiagoclm
  • šŸ‘€ Iā€™m interested in cool stuff like AI, Data Science, Control Theory, Astrodynamics, and so on...
  • šŸŒ± Iā€™m currently learning a little bit of everything
  • šŸ“« How to reach me: [email protected]

Thiago Cesar's Projects

applied-ml icon applied-ml

šŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

d2l-en icon d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

genai icon genai

Repo about generative AI projects

interpret icon interpret

Fit interpretable models. Explain blackbox machine learning.

modin icon modin

Modin: Speed up your Pandas workflows by changing a single line of code

shap icon shap

A unified approach to explain the output of any machine learning model.

shap-hypetune icon shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

svd icon svd

Tests and implementations using Singular Value Decomposition (SVD)

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