Felipe Santos's repositories
Coursera_Capstone
Repository Created to the Coursera final capstone module assignment to the IBM Data Science Professional Certificate
dnalise_dados_ex1
Extração de dados de arquivos PDF e CSV zipados diretamente como dataframes Pandas. Limpeza e processamento simples de dados.
Machine-Learning-Web-Apps
Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)
twitter_web_crawler
Análise de Sentimentos usando nova API 2.0 do Twitter, Flask, Pandas, MariaDB e Plotly.
benchmarks
A benchmark framework for Tensorflow
curso-flask
Repositorio Curso Flask - https://skip.gg/curso-flask-codeshow
daal4py
sources for daal4py - a convenient Python API to oneDAL
desafio_bix
Repositório do desafio técnico do processo de seleção da empresa BIX Tecnologia
dp6
Desafio DP6 - Segunda Fase.
example-code-2e
Example code for Fluent Python, 2nd edition
Fast.ai-Course20
Deep Learning for Coders, 2020, the website
flask_new_project
Automates the process of create a Flask project structure with a no-nonsense layout and pre-configure of standard factory good practices.
flasky
Companion code to my O'Reilly book "Flask Web Development", second edition.
LeIA
LeIA (Léxico para Inferência Adaptada) é um fork do léxico e ferramenta para análise de sentimentos VADER (Valence Aware Dictionary and sEntiment Reasoner) adaptado para textos em português.
oneAPI-samples
Samples for Intel oneAPI toolkits
spinningup
An educational resource to help anyone learn deep reinforcement learning.
Twitter-API-v2-sample-code
Sample code for the Twitter API early access endpoints (Python, Java, Ruby, and Node.js).
two-stage-labeling-for-the-sentiment-orientations
Our algorithm is based a two-stage labeling for the sentiment orientations. A two-level network is accordingly proposed to utilize the two labeled data in the two-stage labeling strategy. Lexical cues (e.g., polar words, POS, conjunction words) are also used in our two-level network with a new encoding strategy. Please refer to our paper at arXiv for details: -hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis.(https://arxiv.org/pdf/1803.07771.pdf)