Pinned Repositories
advanced-r-statistical-programming-and-data-models
Source Code for 'Advanced R Statistical Programming and Data Models' by Matt Wiley and Joshua F. Wiley
ai-developer
airbnb
Project analyzing Airbnb Rental data
airbnb-cities
Data Analysis and Visualization on Airbnb Data
airbnb-streamlit
Explorando airbnb con streamlit
Applied-Machine-Learning-Ensemble-Modeling-live-training
Live Training Session: Applied Machine Learning:Ensemble Modeling
Datos-COVID19
En formato estándar
Forsk
innvestigate
A toolbox to iNNvestigate neural networks' predictions!
LRP_for_LSTM
Layer-wise Relevance Propagation (LRP) for LSTMs
1965aafc's Repositories
1965aafc/Datos-COVID19
En formato estándar
1965aafc/Applied-Machine-Learning-Ensemble-Modeling-live-training
Live Training Session: Applied Machine Learning:Ensemble Modeling
1965aafc/bagging_to_bert
1965aafc/boostFSLBert
Boosting BERT performances in FSL context
1965aafc/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
1965aafc/detoxify
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.
1965aafc/DS_school_detection
AI challenge
1965aafc/ech
Procesamiento de la Encuesta Continua de Hogares de Uruguay
1965aafc/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
1965aafc/free_r_tips
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every Tuesday.
1965aafc/geocompr
Open source book: Geocomputation with R
1965aafc/imagenes_satalitales
1965aafc/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
1965aafc/Machine-Learning-with-R-Third-Edition
Machine-Learning-with-R-Third-Edition, published by Packt
1965aafc/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
1965aafc/ohsome-py
Python bindings for the ohsome API
1965aafc/Pandas-and-Spark
Notebooks con combinacion de Pandas y Spark, lo que mejora la performance
1965aafc/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
1965aafc/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
1965aafc/poniard
Streamline scikit-learn model comparison.
1965aafc/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.
1965aafc/Predicting-the-scoreline-of-a-Football-Match
Aim of this code is to analyse and predict the scoreline of an International Football match.
1965aafc/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
1965aafc/pyech
A Python package to analyze Uruguay's ECH survey.
1965aafc/python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
1965aafc/stata_pSMOTE
Código que permite balancear clases desequilibradas en la variable de estudio dependiente. Es recomendable usarlo para variables dependientes dicotómicas.
1965aafc/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
1965aafc/TS_Escudero
Curso de series de tiempo de WSE
1965aafc/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.
1965aafc/wid-world
The World Inequality Database