João (joaorafaelm)

joaorafaelm

Geek Repo

Company:@xapo

Location:Curitiba, Brazil

Home Page:https://joaorafaelm.github.io/notebook/

Github PK Tool:Github PK Tool

João's repositories

graphql-django-example

This project is an example of GraphQL and Django, using Graphene.

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text-classification-python

An example of retails products classification using scikit and nltk -

nlcli

Natural language interface for the command line.

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karnaugh

A Karnaught Map builder

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covid-br-choropleth

https://joaorafaelm.github.io/covid-br-choropleth/

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bitcoin

Bitcoin trading bot

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embeddings

Fast, DB Backed pretrained word embeddings for natural language processing.

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hmc

Python Module for decision tree based hierarchical multi-classification

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jekyll-share-links

Social media share buttons for Jekyll templates, no JavaScript

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ketchum

Use word vectors to interactively generate lists of similar words

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marx

The classless CSS reset (perfect for Communists).

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Me_Bot

Build a bot that speaks like you!

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models

Models and examples built with TensorFlow

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movierecommender

A simple movie recommender system

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multi-turn-dialogue-gpt2

Multi-turn conversation modeling using GPT-2

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nlp-bash-oneliners

NLP bash oneliners for markov chain, uni/bi/tri-gram frequency etc.

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pipenv

Python Development Workflow for Humans.

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project-template

A template for scikit-learn extensions

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PyPlay

An offline Python 3 REPL for the web.

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pystack

Examine Python stack traces on Linux using the magic of ptrace(2).

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pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

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python-is-cool

Cool Python features for machine learning that I used to be too afraid to use

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rapping-neural-network

Rap song writing recurrent neural network trained on Kanye West's entire discography

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recurrently-happy-rnn

"Having Fun with Recurrent Neural Networks (RNNs)" - Tutorial for PyData 2017 - TensorFlow - Text [and songs] Generation

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symptoms-disease

predict/affinity analysis on symptoms disease dataset

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text-generator

Having fun with LSTMs by creating a simple text generator.

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work-at-olist

Apply for a job at Olist's Development Team

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