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Vinicius Caridá's Projects

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

autoeda-resources icon autoeda-resources

A list of software and papers related to automatic and fast Exploratory Data Analysis

basics icon basics

📚 Learn ML with clean code, simplified math and illustrative visuals.

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

fairlearn icon fairlearn

A Python package to assess and improve fairness of machine learning models.

gpubootcamp icon gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

interpret icon interpret

Fit interpretable models. Explain blackbox machine learning.

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kdd19-tutorial icon kdd19-tutorial

KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond

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