Gabriela Martínez's repositories
NeuroPixels-Classification-Project
My master's thesis on machine learning methods for neuronal identification from electrophysiological recordings in the cerebellum. Sponsor: University College London
Deep-Learning-Applications
Exploratory session to create a Multilayer Perceptron and a Variational Autoencoder (VAE) using Pytorch.
Paper-Notes
Main highlights from the data science related academic papers I have read
Data-Science-in-AWS
A research on data science services on top of AWS
Exploring-Cloud-Computing-Technologies
Series of experiment sessions using NLP, Google Cloud Vision and AWS
Intro-to-Distributed-Graphs
Distributed Graphs application using the Think-Like-A-Vertex Approach
Intro-to-Knowledge-Graphs
Exploratory session on knowledge graphs built on top of DBPedia, and analytical queries made on top of QBAirbase.
Intro-to-ML
Udacity introductory course to Machine Learning.
Intro-to-Optimization-Techniques
Operations Research introductory course and exercises using AIMMS
Intro-to-Property-Graphs
Graph Database Application using Neo4j
Intro-to-Simulation-Techniques
Introductory course and exercises of various simulation techniques
Intro-to-Web-Applications
Base code for small web application deployed on PaaS AWS Beanstalk. The web app interacts with Amazon DynamoDB, Amazon Simple Notification Service and Amazon Cloud Front.
Time-Series-Forecasting
Notes and exercises on time series analysis and forecasting