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benchmarks

A benchmark framework for Tensorflow

coursera-ibm

coursera_capstone

Repository Created to the Coursera final capstone module assignment to the IBM Data Science Professional Certificate

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

dnalise_dados_ex1

Extração de dados de arquivos PDF e CSV zipados diretamente como dataframes Pandas. Limpeza e processamento simples de dados.

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.

heroku_test_1

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.

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

oneapi-samples

Samples for Intel oneAPI toolkits

sentipt

Portuguese Port for the Vader Sentiment Analysis Script

spinningup

An educational resource to help anyone learn deep reinforcement learning.

testrepo

Repository for GIT pratice

twitter-api-v2-sample-code

Sample code for the Twitter API early access endpoints (Python, Java, Ruby, and Node.js).

twitter_web_crawler

Análise de Sentimentos usando nova API 2.0 do Twitter, Flask, Pandas, MariaDB e Plotly.

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)