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artificial-twitter-bot

Twitter bot that posts sentences generated with LSTM

basic-text-preprocessing

Basic text preprocessing utils

bayes-clustering-classification

Collection of Bayesian clustering and classification techniques with the Fifa dataset

biomedical

Tools for curating biomedical training data for large-scale language modeling

character-lookup

Dictionary lookup based on character distances

code-lookup

Add codes to annotations based on Levenhstein distance

codiesp-baseline-lookup

CodiEsp Baseline System 1 - lookup

doc2vec-testing

document_selection_tfidf

Select documents from a target corpus based on their shared vocabulary with a source annotated corpus

drugprot-evaluation-library

DrugProt (BioCreative VII) evaluation library

feature-selection

Using Scikit and MLXTEND, we test different ML algorithms and see how they behave when trying with them several feature selection techniques.

genetic-snake

Genetic algorithm to train a simple NN to play the classic snake game

intro-bayes-regression

Introduction to Bayesian Regression in R using a fun (but not really good) dataset.

intro-bayes-text-classification

Introduction to some libraries and techniques for Bayesian Text Classification in R.

intro-gaussian-processes

Guide to Gaussian Processes for regression with Python and GPy (Master assigment, prof. Pablo M. Olmos)

intro-svm

Introduction to SVM in Python and Scikit (Master assignment from prof. Pablo M. Olmos).

kaggle-iowa-housing

Iowa House Prices from Kaggle

lda-intro

Text preparation, LDA (topic modelling) model creation and distance calculation based on topics

linear-optimization-example

Introduction to linear optimization with Python and pyomo. Model declaration, resolution and conditional constraints.

livingner-evaluation-library

mapping-prep-workflow

Script to prepare files for normalization annotators

mesh2icd10

Filter PubMed results XML, get Mesh terms from it and map them to ICD10 categories

ner-transformers-utils

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

parameter-optimization

Parameter optimization with scikit functions GridSearch, RandomizedSearch and BayesSearch

pca-pyspark

Optimizing the number of Principal Components for dimensionality reduction in PySpark

profner-baseline

pubmed-parser

Library to download PubMed abstracts with metadata. Originally created to obtain the DrugProt (BioCreative VII) background set

relation-extraction-ddi

TFM code

simple-regression

Apply basic linear regression techniques in R: descriptive statistics, PCA, stepwise model selection, interactions, model diagnostics, etc.