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Name: Manuel Montoya
Type: User
Bio: Data Scientist
Location: Lyngby, Denmark
Name: Manuel Montoya
Type: User
Bio: Data Scientist
Location: Lyngby, Denmark
https://graphacademy.neo4j.com/courses/app-python
This repository contains all the codes used in the paper "Experiments in combining boosting and deep stacked networks"
Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.
Implementation of the ELMo + BiDAF architecture where the point value weights have been replaced by Gaussian Random variables which are trained using a modification of the Bayes by BackProp algorithm
Gathering of some codes from Coursera Courses
Copenhacks 2018 code for Crowdinator. Crowdinator is a sentiment analysis tool that detects the emotion of a crowd using face analysis from a given stream of images and generates a visual report.
Apps hosted in the Dash Gallery
A set of Course projects developed during the MSc on Mathematical Modelling and Computation at DTU
Implementation of the Expectation Maximization Algorithm for Hidden Markov Models including several Directional Distributions
Code and Report from the Introduction to Financial Engineering Course at DTU
A set of games and animations I developed in Macromedia Flash in my early teenage years around 2006. They are not quite good and my design skill combined with my colorblindness are a visual insult but it shows my early neediness and they are the reason I got into engineering later instead of biology.
Some codes and presentations from Hackathons
Microcontroller project Code
Python robot adviser for middle management
Generator of best schedules for my Uncle's workers
Extreme Learning Machine and Meta-heuristic algorithms implemented in C using threads to solve a Feature Selection problem related to the generation of Seawave Energy
Analysis of language through the dictionary
Trading library in python
Python library to implement advanced trading strategies using machine learning and perform backtesting.
Libraries for a Workshop in Arduino
TypeDB-ML is the Machine Learning integrations library for TypeDB
Gathering of some codes from Courses taken at UAH
A set of projects performed during the MSc in UC3M
Code from different websites implemented from scratch. Not the most beautiful but good for learning.
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.