Andrés Moreno's starred repositories
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
deeplearning-models
A collection of various deep learning architectures, models, and tips
gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
list_of_recommender_systems
A List of Recommender Systems and Resources
probability
Probabilistic reasoning and statistical analysis in TensorFlow
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
wfdb-python
Native Python WFDB package
pytorch-flows
PyTorch implementations of algorithms for density estimation
RecSys_Course_AT_PoliMi
This is the official repository for the Recommender Systems course at Politecnico di Milano.
sars_tutorial
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
MathsDL-spring19
Mathematics of Deep Learning, Courant Insititute, Spring 19
Geospatial_Data_with_Python
Introduction to Geospatial Data with Python
qrs_detector
Python Online and Offline ECG QRS Detector based on the Pan-Tomkins algorithm
KDD18-Gluon
KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon
randomforest-density-python
Random Forests for Density Estimation in Python
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.
gds_scipy16
Geographic Data Science with PySAL - Scipy'16
recomendador
Sistema de recomendación para estudiantes de educación media que quieren continuar con sus estudios universitarios.