Name: Martín Villanueva
Type: User
Company: Spike
Bio: MSc in Computer Science @ UTFSM
Location: Valparaíso
I'm Martín Villanueva, a software engineer from Chile. Currently, I work as data scientist at Spike. Besides programming, I enjoy biking and compete on Kaggle :=).
acalib
Advanced Computing for Astronomy Library
acnm
Advanced Computational Numerical Methods course at UTFSM
amex-default-prediction
Codebase for Kaggle's AMEX default prediction competition
ann
Homeworks of ANN course at UTFSM
ashrae
Codebase for Kaggle's ASHRAE Great Energy Predictor 2019 competition
brainfood-challenge
Brain Food Challenge
caspyter
A radioAstronomy project
cc3
Models and quantitative methods
cc4
Taller de modelos y métodos cuantitativos
condor_tensorflow
CONditionals for Ordinal Regression and classification in tensorflow
ctalearn
Exploratory work on applying deep convolutional neural networks to CTA event classification
docker-airflow
Docker Apache Airflow
ds-competition-template
Template repo for data science competitions
eaci
Elementos de Análisis para Computación e Informática (documentos)
facerec
Implements face recognition algorithms for MATLAB/GNU Octave and Python.
falabella-data-scientist-test
gb-vpp
Solution to Kaggle's google brain - ventilator pressure prediction challenge
google_quest_challenge
Codebase for Kaggle competition: Google Quest QA labeling
hdmc
Hierarchical Decomposition of Molecular Clouds
hdmclouds
A Hierarchical Decomposition of Molecular Clouds
ia
Proyecto de Inteligencia Artificial
icr-identify-age-related-conditions
Codebase for Kaggle's ICR - Identifying Age-Related Conditions
indoor-location-navigation
Codebase for Kaggle's indoor location navigation competition
jane-street-market-prediction
Solution to Kaggle's M5 Jane street market prediction
klgmr
A Kullback-Leibler Approach to Gaussian Mixture Reduction
lightgbm
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
lofo-importance
Leave One Feature Out Importance
lsdss-project
m5-forecasting-accuracy
Solution to Kaggle's M5 Forecasting Accuracy Competition
mahts
Model Agnostic Hierarchical Time Series in Python
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
