Alvaro Fuentes's repositories
Datos-COVID19
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Applied-Machine-Learning-Ensemble-Modeling-live-training
Live Training Session: Applied Machine Learning:Ensemble Modeling
boostFSLBert
Boosting BERT performances in FSL context
DALL-E
PyTorch package for the discrete VAE used for DALL·E.
detoxify
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.
DS_school_detection
AI challenge
ech
Procesamiento de la Encuesta Continua de Hogares de Uruguay
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
free_r_tips
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every Tuesday.
geocompr
Open source book: Geocomputation with R
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Machine-Learning-with-R-Third-Edition
Machine-Learning-with-R-Third-Edition, published by Packt
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
ohsome-py
Python bindings for the ohsome API
Pandas-and-Spark
Notebooks con combinacion de Pandas y Spark, lo que mejora la performance
pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
poniard
Streamline scikit-learn model comparison.
postgresml
PostgresML is an AI application database. Download open source models from Huggingface, or train your own, to create and index LLM embeddings, generate text, or make online predictions using only SQL.
Predicting-the-scoreline-of-a-Football-Match
Aim of this code is to analyse and predict the scoreline of an International Football match.
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
pyech
A Python package to analyze Uruguay's ECH survey.
python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
stata_pSMOTE
Código que permite balancear clases desequilibradas en la variable de estudio dependiente. Es recomendable usarlo para variables dependientes dicotómicas.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
TS_Escudero
Curso de series de tiempo de WSE
tutorial-spatial-modelling-population-welfare-SCL-SPH
The aim of the analysis is to create a high resolution map of poverty, income and literacy for El Salvador. The data on these three development indicators come from the 2017 household survey Encuesta de Hogares de Propositos Multiples (EHPM). While the survey data are only available for 1,664 segmentos, the lowest administrative units, the goal is to provide a map of the three development indicators for all the 12,435 segmentos of the country.
wid-world
The World Inequality Database