mxagar
I'm a data scientist and machine learning engineer with passion for all things AI. I have a PhD in robotics and interactive virtual reality simulations.
Deutsche TelekomSan Sebastián (Spain) - Remote
Pinned Repositories
airbnb_data_analysis
An analysis of the AirBnB dataset from Euskadi / the Basque Country.
cicd_guide
Notes on Continuous Integration and Continuous Deployment (CI/CD) using Gitlab Pipelines and Github Actions.
detection_segmentation_pytorch
This repository collects examples in which Object Detection and Semantic Segmentation are applied with Pytorch.
image_captioning
Image captioning project with a deep learning model. Given an image, it is processed by an encoder CNN and then passed to a decoder RNN. The decoder outputs a text caption of the image content. The work is based on the paper "Show and Tell" by Vinyals et al. Pytorch is used for the implementation and the COCO dataset for training.
machine_learning_ibm
These are my notes and the code of the IBM Machine Learning Professional Certificated offered by IBM & Coursera.
mlflow_guide
My personal notes on how to use MLflow, compiled after following courses & tutorials, and after making personal experiences.
mlops_udacity
These are my notes of the Udacity Nanodegree Machine Learning DevOps Engineer.
ocr_guide
This repository contains a guide and example code on Optical Character Recognition (OCR).
open3d_guide
My personal guide to the great Python library Open3D.
project_compilation
This repository compiles some of the projects I have worked on.
mxagar's Repositories
mxagar/image_captioning
Image captioning project with a deep learning model. Given an image, it is processed by an encoder CNN and then passed to a decoder RNN. The decoder outputs a text caption of the image content. The work is based on the paper "Show and Tell" by Vinyals et al. Pytorch is used for the implementation and the COCO dataset for training.
mxagar/airbnb_data_analysis
An analysis of the AirBnB dataset from Euskadi / the Basque Country.
mxagar/CVND_Localization_Exercises
Notebooks about object motion and localization from the Udacity Computer Vision Nanodegree.
mxagar/cd0017-introduction-to-data-science
This repo contains the notebooks and code for The Data Science Process lesson in Introduction to Data Science course, from Udacity.
mxagar/CVND_Exercises
Exercise notebooks for CVND, the Udacity Computer Vision Nanodegree.
mxagar/deep-learning-v2-pytorch
Projects and exercises of the Udacity Deep Learning Nanodegree.
mxagar/dermatologist-ai
Skin Cancer Detection with Convolutional Neural Networks (CNNs) and T-SNE Visualization of Compressed Image Representations.
mxagar/diveintoansible
Content for DiveInto.com's 'Dive Into Ansible' Course
mxagar/diveintoansible-lab
Dive Into Ansible Lab
mxagar/DL_PyTorch
Code for the Deep Learning with PyTorch lesson from Udacity.
mxagar/DSND_Term2
Files related to content and project of Udacity Data Science Nanodegree, Term 2.
mxagar/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
mxagar/housing_agent
This small project analyzes some real estate data.
mxagar/html_demo_site
A demo site for the How To Build a Website With HTML tutorial series
mxagar/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
mxagar/jekyll_web_guide
These are my personal notes related to creating and deploying static web pages with Jekyll.
mxagar/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
mxagar/ml-glossary
Machine learning glossary
mxagar/P1_Facial_Keypoints
Facial keypoint detection using Convolutional Neural Networks in PyTorch.
mxagar/pointcloud_tutorial
Code examples for common operations on multidimensional data using both PCL and Open3D.
mxagar/slam_2d
Landmark Detection and Tracking (SLAM) in 2D.
mxagar/text_generator
This repository contains a text generator deep learning model based on LSTMs.
mxagar/udacity-cd0171--software-engineering-for-data-scientists
Udacity lessons on Software Engineering for Data Scientists. The content covers Python OOP, Packaging & Web development oriented to dashboard creation.
mxagar/udacity-cd0581-building-a-reproducible-model-workflow-exercises
Exercise Staters and solutions for cd0581-building-a-reproducible-model-workflow by Giacomo Vianello
mxagar/udemy-docker-mastery
Udemy Course to build, compose, deploy, and manage containers from local development to high-availability in the cloud