huberemanuel Goto Github PK

genre-classifier-notebook

Jupyter notebook experiments on knowledge domain classifier, UFSCAR Sorocaba CCS004 class

huberemanuel

huberemanuel.github.io

Personal blog.

ia2-assignment

Trabalho para disciplina de Inteligência Artificial 2 - ICMC-USP

lal-parser

Neural Adobe-UCSD Parser, the current State of the Art in Constituency and Dependency Parsing.

learning

learning-1

Becoming better at data science every day

meta_tagger

metabilstm

missionaries-and-cannibals

Solução do problema de missionários e canibais para SCC5774

ml-studies

Studies of machine learning concepts

mlops-e2e

MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK

models

Models and examples built with TensorFlow

morphobr

Resources for morphological analysis of Portuguese

nvim-config

Vim is awesome

openvoronoi

2D voronoi diagram for point and line-segment sites using incremental topology-oriented algorithm. C++ with python bindings. Licensed under LGPL2.1.

porttagger

A Brazilian Portuguese part-of-speech tagger according to Universal Dependencies

ramon

road-semantic-segmentation-pytorch

Road segmentation with Pytorch

simple-mlops

Simple MLOps example on Wine dataset

single-repo-front-back

my test

stanza

Official Stanford NLP Python Library for Many Human Languages

stanza-train-br

Model training tutorials for the Stanza Python NLP Library

subword-sequence-tagging

Code for the paper: Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation (ACL 2019)

tcc_leonardo_capellaro

Arquivos utilizados no TCC do aluno Leonardo Capellaro para a análise de sentimentos e de tópicos em tweets das eleições presidenciais de 2018.

tensorflow-object-detection

How to train an object detection model easy for free

test-cdk

Experiment with CDK

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

transformers-pytorch

Transformers implementation from scratch with PyTorch

tupe

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.