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Name: Libardo Lopez
Type: User
Bio: From data to knowledge. Professional interest in #DataScience #CX #UX #IoT #BigData #PrecisionMarketing #MarketingAnalytics #Strategy #CRISPDM #Arduino
Location: Bogotá, Colombia
Name: Libardo Lopez
Type: User
Bio: From data to knowledge. Professional interest in #DataScience #CX #UX #IoT #BigData #PrecisionMarketing #MarketingAnalytics #Strategy #CRISPDM #Arduino
Location: Bogotá, Colombia
Methods to display time series, spatial and space-time data using R
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
To check spam emails using machine learning techniques.
Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
Example on how to detect spam sms messagesusing logistic regression with Spark.
Naive Bayes + TFIDF in Spark on 20 News Group Dataset
Maps and R
Spearmint Bayesian optimization codebase
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
A curated list of speech and natural language processing resources
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
Sequence PredIction Challenge
This repository holds an implementation of Discrete Hidden Markov Model which is trained and tuned to work for the sequence prediction challenge (SPiCe). Parameter tuning of this simple HMM implementation got me top 10 in the global ranking of the Sequence Prediction Challenge(SPiCe).
Splash Project for parallel stochastic learning
Species occurrence data toolkit for R + data + maps = :)
Data set on shared sports popularity for colonizers and their colonies
This is a repository of my projects for Springboard's Data Science bootcamp.
Set of tutorials with data files and answers on multivariate data analysis using SPSS
Assignements of various SQL courses (Introduction to Data Science; Stanford Database course)
A python utility library to connect with SQL and insert python data structures like list and dictionary automatically and easily into SQL databases.
A tensorflow implemenation of Christian et al's SRGAN(super-resolution generative adversarial network)
Stacked Generalization (Ensemble Learning)
Repo for Algorithms Design and Analysis Part 1 offered by Stanford University on Coursera
Python wrapper for Stanford CoreNLP tools
Repo for Cryptography I course offered by Stanford University on Coursera
VIP cheatsheets for Stanford's CS 229 Machine 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.