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Name: Ignacio Arroyo
Type: User
Company: UTM
Twitter: i_arroyof
Location: Mexico
Name: Ignacio Arroyo
Type: User
Company: UTM
Twitter: i_arroyof
Location: Mexico
This is a document to document prediction model. Given the fisrt half of a Wikipedia article, predict first the probable topics of his 2nd half and then, try to generate such 2nd half article.
Address Duplication problem with supervised learning
Automated Q&A for assessing lexicon acquisition
Common Sense Knowledge for Open Vocabulary Reasoning in Agroecology
Natual Language Applications to Cultural Heritage
NLP dataset generator
Define is a semantic annotation software aimed at enhancing and constraining hand similarity annotation tasks.
This is a dataset where each file is associated to a term. Each file in turn contains definitions for the associated term. All text snippets are embedded into doc2vec vector representations.
Implementation of the unsupervised model for semantic discriminative attributes using neural word embeddings. Participant system SemEval 2018 -- Task 10: Capturing Discriminative Attributes
This repo contains codes and, selfcontained, some documentation about implementation of theoretical issues of my PhD thesis. This work is entitled "Learning Kernels for Distributional Semantic Clustering" in which we present a novel (distributional) semantic embedding method.
Fraud detection in credit card payments and auto insurance claims using PySpark
Python class to load a page of es_page_size from ElasticSearch. This page is consumed in batches of batch_size documents by a pytorch data loader. A new page is loaded before the last batch is consumed by the torch model in training time.
Learning Machine trained for extraction of experimental conditions from scientific literature in the biomedical area
Hierarchical Entropy Relational Reinforcement Learning
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Una API para extracción automática de conocimiento biomédico basada en Inteligencia Artificial
A number of tests applying NLP and Machine Learning techniques to chromosome characterization are performed in order to observe genetic factors determining sex
Software system implementation for signal acquisition and pattern clustering via LAMDA method (Learning Algorithm for Multivariate Data Analysis, byJoseph Aguilar-Martín, CNRS). It is written in C/C++ and it requires licenced National Instruments software called LabWindows/CVI and a USB Digital I/O Device. This software was tested for the last time over windows 7 Professional OS. See associated MSc thesis for details.
Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
Data-Intensive Text Processing with MapReduce
Baseline estimator for profit maximization in orderbook RL environments
This is a matlab library which is implemented a multinomial Bayes classifier for text document classification. Send me a mail for using doubts. Any way, each function gives you a little help.
Script series for NLP: PMI, TF-IDF and Neural cooccurrence vectorization, vector (TF/IDF & PMI) data base distributed querying and population with Hadoop. Deep learning and kernel learning in sklearn.
This repo contains software and results derived from the PRODEP project entitled "Reinforcement learning in the automatic acquisition of knowledge in noncommunicable diseases"
Open Vocabulary LLM Reasoning
Some exersices in Pytorch
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.