rafaelvalero Goto Github PK
Name: Rafael Valero Fernández
Type: User
Bio: Programming, Statistics, Maths, Economics, Human Behaviour, People Analytics
Location: London
Blog: https://www.linkedin.com/in/rafael-valero-fernandez-phd-b9269a58/
Name: Rafael Valero Fernández
Type: User
Bio: Programming, Statistics, Maths, Economics, Human Behaviour, People Analytics
Location: London
Blog: https://www.linkedin.com/in/rafael-valero-fernandez-phd-b9269a58/
# Objectives * Create a training function that train the model many time and store the results. * Create a function that collect previous trained model and provide predictions. * I want to do it in parallel using joblib [this library is used to parallelize in Sklearn]
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Forecast and Predictions Techniques applied to COVID / Coronavirus
I put here some notebook I have used to research different topics.
This is just to learn about diversity metrics in python.
A Python module to perform exploratory factor analysis.
Forecast new cases and deaths by day and country
I want to have a little cheatsheet and overview for testing procedures. I focus in two procedures Doctest and Unittest.
Tutorial about classes, modules and packages
I would like to process text in the most parallel possible way
Statistical package in Python based on Pandas
R Shiny Flex Dashboard Interactive Data Visualization
How to use funtions from the command line. Pick up variables from the commandline.
Examples of integrating Qlik Sense and Python
Implementation in Python of the reliability measures such as Omega.
Synthetic Control with Statistical Learning
Smolyak Method for Solving Dynamic Economic Models: Lagrange Interpolation, Anisotropic Grid and Adaptive Domain (with Kenneth L. Judd, Lilia Maliar and Serguei Maliar). Journal of Economic Dynamics & Control 44 (2014) 92–123. First, we propose a more effcient implementation of the Smolyak method for interpolation, namely, we show how to avoid costly evaluations of repeated basis functions in the conventional Smolyak formula. Second, we extend the Smolyak method to include anisotropic constructions; this allows us to target higher quality of approximation in some dimensions than in others. Third, we show how to effectively adapt the Smolyak hypercube to a solution domain of a given economic model. Finally, we advocate the use of low-cost fixed-point iteration, instead of conventional time iteration. In the context of one- and multi-agent growth models, we find that the proposed techniques lead to substantial increases in accuracy and speed of a Smolyak-based projection method for solving dynamic economic models. JEL classif ication : C63, C68 Key Words : Smolyak method; sparse grid; adaptive domain; projection; anisotropic grid; collocation; high-dimensional problem
Efficient implementations of Smolyak's algorithm for function approxmation in Python and Julia.
Smolyak sparse grid interpolation sandbox
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.