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.
course_compilation
This is the compilation of most of the courses I have done. I collect certificates, links to repositories, guides, projects, etc.
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.
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/mlops_udacity
These are my notes of the Udacity Nanodegree Machine Learning DevOps Engineer.
mxagar/open3d_guide
My personal guide to the great Python library Open3D.
mxagar/mlflow_guide
My personal notes on how to use MLflow, compiled after following courses & tutorials, and after making personal experiences.
mxagar/course_compilation
This is the compilation of most of the courses I have done. I collect certificates, links to repositories, guides, projects, etc.
mxagar/deep_learning_udacity
These are my personal notes taken while following the Udacity Deep Learning Nanodegree.
mxagar/finance_accounting_courses
Notes on finance and accounting courses
mxagar/foundations_management_iese_coursera
My personal notes on the Coursera Specialization by IESE "Foundations on Management".
mxagar/mxagar.github.io
My personal website.
mxagar/project_compilation
This repository compiles some of the projects I have worked on.
mxagar/software_devops_ibm
My personal notes of the IBM DevOps and Software Engineering from Coursera.
mxagar/spark_big_data_guide
This repository contains my personal guide on Spark and topics related to Big Data.
mxagar/tool_guides
Guides and examples of several tools and libraries, e.g.: PCL, OpenCV, C++, Python, Docker, GTest, etc.
mxagar/aws_guide
My personal notes on AWS, compiled after following courses & tutorials and making personal experiences.
mxagar/azure_guide
This repository contains my personal guide on different services provided by Microsoft Azure. These notes were collected after following several courses and tutorials, among others.
mxagar/bitcoin_notes
This repository contains my personal notes done while studying Bitcoin and related technologies.
mxagar/chatbot_evaluation
This repository contains a simple chatbot evaluation package which can be used to score chatbots using a dataset of predefined and rated chat sessions.
mxagar/computer_vision_udacity
My personal notes taken while following the Udacity Computer Vision Nanodegree.
mxagar/data_science_udacity
My personal notes, code and projects of the Udacity Data Science Nanodegree.
mxagar/data_structures_algorithms_udemy
This repository contains a compilation of algorithms & data structures and their implementations in python. Originally, I forked the base repository from J.M. Portilla, who has a Udemy course on the topic: "Python for Algorithms, Data-Structures, and Interviews". However, I also added extra material from other sources.
mxagar/design_patterns_notes
Notes on Software Design Patterns: SOLID & Gang of Four in Python.
mxagar/DesignPatternsWebinar
Materials for the Design Patterns webinar
mxagar/elastic_search_guide
These are my notes on Elasticsearch (and Kibana) and search/retrieval methods (including data structures) in general.
mxagar/generative_ai_book
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
mxagar/generative_ai_udacity
My personal notes, code and projects of the Udacity Generative AI Nanodegree.
mxagar/mxagar
Config files for my GitHub profile.
mxagar/nlp_with_transformers_nbs
Jupyter notebooks for the Natural Language Processing with Transformers book
mxagar/python_interviews
Data structures, algorithms, software design & Co. in python.
mxagar/python_software_engineering
This repository contains a guide of Python tailored to professional Software Engineering, covering aspects like Data Structures, Algorithms, Design Patterns & Co.
mxagar/sparkify_customer_churn
This project analyzes and predicts customer churn of a music streaming service using Spark on a large dataset.
mxagar/voxel_point_collision_detection
Collision detection between voxelized and point-sampled objects following the Voxelmap Pointshell Algorithm by McNeely et al.