Pinned Repositories
AdvisorJavaClient
An Advisor (https://github.com/tobegit3hub/advisor/) Java Client based on the python one
andresmore.github.io
blueprints
Software development blueprints for epiverse-trace
EverydaySexismScraperEspanol
experimental-mf
cache-friendly multithread matrix factorization
gym-Rubiks-Cube
Fork of RobinChiu model to enable rendering and integration of the gym with the tf-agents platform via Jupyter notebooks
HeartRatePatterns
This work focuses on predictive mortality analysis, through the identification of patterns in heart beats of patients in the intensive care unit (ICU). As a data source, MIMIC III is used, where the patient information is found in the ICU, these data are transformed into graphs, later the possible patterns of beats are located between all the patients, through the frequent graph mining, reduce these patterns using Non-Negative Matrix Factorization (MFN) and group the patients by their characteristics. In the end, using logistic regression identifies the probability that each of these groups of patients have to die.
HR_Analysis
MachineLearningPUJ202210
Repository for notebooks for the PUJ Machine Learning Course for the 202210 period
onlinerecsys
Client-Side hybrid rating prediction for recommendation - Online recommender system
andresmore's Repositories
andresmore/onlinerecsys
Client-Side hybrid rating prediction for recommendation - Online recommender system
andresmore/MachineLearningPUJ202210
Repository for notebooks for the PUJ Machine Learning Course for the 202210 period
andresmore/AdvisorJavaClient
An Advisor (https://github.com/tobegit3hub/advisor/) Java Client based on the python one
andresmore/andresmore.github.io
andresmore/blueprints
Software development blueprints for epiverse-trace
andresmore/EverydaySexismScraperEspanol
andresmore/experimental-mf
cache-friendly multithread matrix factorization
andresmore/gym-Rubiks-Cube
Fork of RobinChiu model to enable rendering and integration of the gym with the tf-agents platform via Jupyter notebooks
andresmore/HeartRatePatterns
This work focuses on predictive mortality analysis, through the identification of patterns in heart beats of patients in the intensive care unit (ICU). As a data source, MIMIC III is used, where the patient information is found in the ICU, these data are transformed into graphs, later the possible patterns of beats are located between all the patients, through the frequent graph mining, reduce these patterns using Non-Negative Matrix Factorization (MFN) and group the patients by their characteristics. In the end, using logistic regression identifies the probability that each of these groups of patients have to die.
andresmore/HR_Analysis
andresmore/ISIS1225-Lib
andresmore/reddit_oct08_analysis
Exploration of reddit communities and their co-commenting during october 2018
andresmore/MachineLearningPUJ202330
Repository for the notebooks for the PUJ Machine Learning course for the 202330
andresmore/MINE4201-Labs
andresmore/mock_dat
book mock
andresmore/paint-wannabe
Simple Java GUI Paint-like app built with Swing.
andresmore/patient-sklearn-examples
andresmore/rival
RiVal recommender system evaluation toolkit
andresmore/tutorial_pandas_101