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/course_recommender_streamlit
This project implements and deploys an AI course Recommender System using Streamlit.
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/accelerated_computer_science_coursera
This repository contains my notes on the Specialization "Accelerated Computer Science Fundamentals" from Coursera / University of Illinois.
mxagar/bitcoin_ethereum_notes
This repository contains my personal notes done while studying bitcoin and ethereum cryptocurrencies.
mxagar/census_model_deployment_fastapi
Model definition, training and deployment using FastAPI. The dataset consists in census entries of 32,561 people (age, education, etc.) and the model infers the salary range of an entry. The focus lies on the MLOps techniques and the repository aims to be a template for similar projects.
mxagar/churn_model_monitoring
A dynamic risk assessment system in which a customer churn model is monitored after deployment.
mxagar/coursera-cs400
Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera
mxagar/crypto_analysis
Analysis of price and network data related to Bitcoin and other cryptocurrencies. Just for fun, not for investments.
mxagar/data_science_python_tools
This repository collects most important ML & DS tools in annotated Jupyter Notebooks.
mxagar/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models". Personal notes and exercises.
mxagar/design_patterns_notes
Notes on Software Design Patterns: SOLID & Gang of Four in Python.
mxagar/DesignPatternsWebinar
Materials for the Design Patterns webinar
mxagar/diagnose_and_fix_mlflow_demo
Diagnose and fix problems in a production deployed code using MLflow.
mxagar/feature-engineering-for-machine-learning
Code repository for the online course Feature Engineering for Machine Learning.
mxagar/flask_guide
These are my personal notes on how to work with Flask for web development.
mxagar/georgia_tech_computer_vision
Course notes and exercises from the Udacity/Georgia Tech Course "Computer Vision" by Aaron Bobick.
mxagar/historical_data_drift_mlflow_demo
Calculate and visualize historical data drift using MLflow.
mxagar/learning_to_learn_coursera
This repository contains my personal notes on the Coursera course "Learning how to learn", by Barbara Oakley.
mxagar/learnopencv
Learn OpenCV : C++ and Python Examples
mxagar/ml_toolkit
Tools for gathering insights from data using machine learning techniques
mxagar/model_scoring_evidently_demo
Monitoring machine learning models in production using Evidently.
mxagar/mv_toolkit
Machine Vision Toolkit: A compilation of Python-based tools for machine vision applications.
mxagar/PRML
PRML algorithms implemented in Python
mxagar/robotics_notes
Notes on robotics, mainly (arm) manipulation robotics: kinematics, dynamics, trajectory generation, control.
mxagar/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
mxagar/small_bets_notes
This repository contains my notes and material collected while following the talks and interactions with the Small Bets community created by Daniel Vasallo.
mxagar/statistics_with_python_coursera
My personal notes done while following the Coursera Specialization "Statistics with Python", from the University of Michingan, hosted by Dr. Brenda Gunderson.
mxagar/streamlit_guide
Streamlit guide in which 12 apps as built. Forked from @dataprofessor, notes my own.