Renata Rabelo's repositories

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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blogdown

Create Blogs and Websites with R Markdown

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bluesky

experiment orchestration and data acquisition

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BoxSERS

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

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EMSC

Extended Multiplicative Signal Correction

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FBinsightsR

Use R to (easily) grab insights from Facebook for ads, pages or Instagram.

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fuzzy-c-means

A simple python implementation of Fuzzy C-means algorithm.

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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.

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happy-git-with-r

Using Git and GitHub with R, Rstudio, and R Markdown

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hdbscan

A high performance implementation of HDBSCAN clustering.

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IFSP-CMP-D1AED-2022.1

Repositório dos códigos feitos em sala na disciplina de Análise Estatística para Ciência de Dados (1° semestre 2022) do IFSP Campinas.

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Machine-Learning

Applying Machine learning Algorithms on various data sets.

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nirpyresearch

Snippets and data from the blog of Nirpy Research

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openorganelle

A portal for viewing FIB-SEM datasets

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philatracks

Python tools for analyzing structure and rheology of 2D particle packings

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ProjetoInterdisciplinar

O projeto descrito nesse repositório teve como objetivo prever a capacidade de um dado requerente reembolsar (ou não) um empréstimo. A análise dos dados e a construção dos modelos de predição foram realizadas com base no histórico de solicitação de empréstimo fornecido no desafio Home Credit Default Risk disponível no Kaggle.

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Public-APIs

📚 A public list of APIs from round the web.

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public-apis-1

A collective list of free APIs

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PyJibe

GUI for AFM data analysis with an emphasis on biological specimens

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RepTate

RepTate with a dual user interface: text and GUI

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rmdformats

HTML output formats for RMarkdown documents

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scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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tutorials

tutorial materials related to data acquisition, management, and analysis

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vue-flow-form

Create conversational conditional-logic forms with Vue.js.

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word_cloud

A little word cloud generator in Python

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