Name: Natalia Díaz Rodríguez
Type: User
Company: University of Granada, Spain
Bio: Professor @DaSCI (Andalusian Data Science and Computational Intelligence Institute), University of Granada, Spain. ContinualAI.org Cofounder
Twitter: NataliaDiazRodr
Location: Granada, Spain
Blog: https://sites.google.com/view/nataliadiaz
Natalia Díaz Rodríguez's Projects
Fork this Repository to keep track of your progress in the 100-days-of-Algorithm-Challenge
Easily create a beautiful website using Academic and Hugo
Human activity recognition with Probabilistic Soft Logic
Master Theses I advised
Exercises for the book Artificial Intelligence: A Modern Approach
A Windows mobile application for alcohol intake measuring. Dependencies: a low-cost developed sensor for breath sensing
UnifyID Fellowship project - Anomaly detection with inverted PCA
Toward Multimodal Image-to-Image Translation
Testing BIGAN (Adversarial Feature Learning) for State Representation Learning
Blackjack cards game
Coding exercises
Failure archive for ChatGPT and similar models
A repository for tutorials and demos on ML running on Google Colaboratory.
Sync config files between desktop and laptop
This is a repository aggregating data from COVId-19 cases involving sex, gender and other variables
Data science and machine learning for solving every-day industry problems
Deep RL, CL, everything worth sharing/learning from
Util methods for Deep Learning
Python scripts for generation sea states and ship motion using 3D Blender simulator
An implementation of the disentanglement metric score in "beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, Alexander Lerchner, 2017"
Introductory PyTorch Tutorial
A 2 month Ego-vision Dataset with Autographer Wearable Camera and 2 users
Artificial Intelligence based Flappy Bird Game
Data science project on forecasting the future trends on quote requests in the shared economy intermediate company data. Are customers inclined to do an increasing or decreasing service quotes over time?