Juan Manuel Pérez

grape-warden. A very simple implementation of token authentication using Grape+Warden

contextualized-hatespeech-classification. Code for paper "Assessing the impact of contextual information in hate speech detection"

wisdom. Word sense disambiguation algorithms for Python

offenseval2020. ANDES at SemEval Task 12: A jointly-trained BERT multilingual model for offensive language detection

hatEval. Atalaya at SemEval 2019 task 5: Robust embeddings for tweet classification

leninanalysis. TeX

pytorch-nlp. Code for "Natural Language Processing with PyTorch"

p300speller. P300 Speller for EMOTIV

rails-engine-example. Ruby

news-labelling. Jupyter Notebook

pytorch-language-models. Language modeling examples in Pytorch

hate_speech_streamlit. Streamlit demo of Contextual Hate Speech detection

text-representations. Jupyter Notebook

spectacles-wasm.github.io. HTML

datasets. 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

hatespeech-models. MongoEngine models for Hate Speech detection

finiteautomata.github.io. Personal Page

ner-leg-js.

django-tutorial. Django Polls Tutorial

pipenv-example. An example of using Pipenv + setup.py to create a library

bertlang. A web interface to understand language-specific BERT-models

wasm-spectacles. JavaScript

django-rest-tutorial. Django REST tutorial

eloquentjs. Exercises and some other stuff from "Eloquent Javascript"

json-ply. A JSON parser written in PLY

pytorch-seq2seq. Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

react-use. React Hooks — 👍

gimmeyourtoken. Example Twitter App

argnews-scraper. Scraper de noticias de diarios de Argentina

tp2-prochabla. TP2 de Procesamiento del Habla

hatespeech-collection. Repository to collect hate speech related tweets

awesome-deeplogic. A collection of papers of neural-symbolic AI (mainly focus on NLP applications)

ner-leg-no-lfs.

tokenizers. 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

hatespeech-selection. Labelling application for Hate Speech in news comments

contrastes. Code of "Exploiting user-frequency information for mining regionalisms from Social Media texts". Búsqueda de regionalismos argentinos en Twitter

tfjs-examples. Jupyter Notebook