maxaalexeeva Goto Github PK
Name: Maria (Masha) Alexeeva
Type: User
Bio: Graduate student at the University of Arizona with interest in Natural Language Processing and Machine Leaning
Name: Maria (Masha) Alexeeva
Type: User
Bio: Graduate student at the University of Arizona with interest in Natural Language Processing and Machine Leaning
Community health files for lum-ai
AutoMATES: Automated Model Assembly from Text, Equations, and Software
Stanford CoreNLP: A Java suite of core NLP tools.
Abstract representation of a discourse-annotated corpus.
Machine reading system for World Modelers
Hands-on practice for part II of the 2018 git/github workshop
GROBID extension for identifying and normalizing physical quantities.
IRIT experiments on the RST Discourse Treebank corpus
The analysis of LIVES study with bag-of-word model and linear machine learning model.
Dependency-based word embedding model (word2vecf, Omer Levy et al.)
An interactive introduction to the Odin information extraction system
Python PDF Parser -- fork with Python 2+3 support using six
An shift-reduce based RST parser
Baseline for SemEval 2019 Task 7 RumourEval 2019
Science Parse parses scientific papers (in PDF form) and returns them in structured form.
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Science-parse version 2
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.