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Web Traffic Time Series Forecasting hosted by Kaggle
A Machine Learning approach to predict hits on Wikipedia server
Attempt at the https://www.kaggle.com/c/web-traffic-time-series-forecasting challenge.
Different techniques to measure the quality of Wikipedia
Forecasting the future values of multiple time series, as it has always been one of the most challenging problems in the field. More specifically, we aim the competition at testing state-of-the-art methods designed by the participants, on the problem of forecasting future web traffic for approximately 145,000 Wikipedia articles.
Derive named entities from Wikipedia
Code for "Web Traffic Time Series Forecasting" Kaggle competition
A large annotated semantic parsing corpus for developing natural language interfaces.
Fast shapelet trees and distance measures
Willump Is a Low-Latency Useful Machine learning Platform.
What's In My Big Data (WIMBD) - a toolkit for analyzing large text datasets
Predicting wind energy produced with a Bayesian generalized linear multilevel model (Bayesian GLMM). Case study in Finland with weather data from the Finnish Meteorological Institute and wind energy data from Fingrid.
Recommending wines with matrix factorization and segmenting wine drinkers with k-means clustering.
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
Windows GUI automation utilities.
This is the winning entry for the Online Hackathon - Predict the Gem of Auxesia on Analytics Vidhya Discuss.
Multilingual calendar based WordNet
Ruleset covering algorithms for transparent machine learning
A PyMC3 implementation of a model to measure working-memory capacity from data from a change-detection task.
A python module to get the emotion of a word.
Web and Network Data Science
Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
Evaluating sequence respecting approaches like LSTM against traditional bag-of-words approaches for text
This contains materials for the word embeddings talk at the Demystifying AI Conference
Quantized word vectors that take 8x-16x less space than regular word vectors
Continuous word representation tools
Simple web service providing a word embedding model
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.