dbguilherme Goto Github PK

active-learning-in-text-classification

A Small Proof of concepts to illustrate Active learning in Text classification usecases

auto-stop-tar

When to Stop Reviewing in Technology-Assisted Reviews

baseline_tar

bigdata

ATA

blocagem_tkde

bot

cc.uffs.edu.br

Site oficial do curso de Ciência da Computação da Universidade Federal da Fronteira Sul, Chapecó/SC.

dbguilherme.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

deepalplus

This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dial

Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"

dlmatchers

Deep Learning-based Entity Matching

dojo-sql

Material para realização do DOJO sobre SQL

dwds

Active learning technique based on a combination of density and diversity

dynamicer

entmatcher

erbd

erbd

expblock

fairness-analysis-code

gomaps

A Google Maps web scraper that retrieves place data based on a search

gpu-top

A tool showing username and simplified output of nvidia-smi

horario

Mostrador de horários e organização de salas de aula do curso de Ciência da Computação da UFFS, Chapecó/SC.

horarios

Ferramenta web para organização dos horários semestrais de cursos de graduação

jekyll-bootstrap-calendar

Pure Jekyll layout to display [bootstrap-calendar] that reads events from CSV file

jekyll-calendar

A nicely designed HTML/JS/Jekyll calendar for (categorized, repetitive) events.

jekyll-timeline

Timeline / Résumé Theme with Jekyll

low-resource-text-classification-framework

Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification datasets, and to simulate real-world scenarios. The framework is easily expandable to new classification models, active learning strategies and datasets.

ltr

machinelearning

notebooks

Some sample IPython notebooks for scikit-learn