ericmassip
Hi! I'm a Machine Learning & Software Engineer. I'm interested in ML, web development and their useful applications to fight global warming.
Pinned Repositories
anem-per-feina
Job portal application using Django
anem-per-feina-frontoffice
Front office of the Aném per feina job portal. Open source project developed during Hacktoberfest 20
CarbonFoodPrint
Web app built in Python with Pandas and Plotly Dash (Flask) for users to know their CO2 emissions given their weekly input diet, as well as analyzing CO2 emissions of several countries given their food consumption.
django-analytical
Analytics services for Django projects
enlighten-me
Simple tool to update the color of a LIFX bulb based on the carbon intensity of your region using data from the electricityMap, built with Python, Javascript and Flask.
G0B34a_knowledge_and_the_web
Computational Ad Hominem Detection model using word2vec, doc2vec, POS tags and a combined neural network of Bidirectional GRUs. Web demo built with Flask and VueJS.
in_the_name_of_deep_learning
Feature extraction using Deep Convolutional Autoencoders and image segmentation using Convolutional Neural Networks with various loss functions (Binary Cross-Entropy, Dice Coefficient) on the PASCAL dataset.
ML-face-recognition
Small project to recognize faces using PCA for dimensionality reduction, and a variety of ML methods for classification (i.e. K-means, Linear SVM and K-NearestNeighbours)
MyCarbonFoodPrint
Dockerized web app built with Python and VueJS for users to know their CO2 emissions given their weekly input diet, as well as analyzing CO2 emissions of several countries given their food consumption.
Smart_Charging_Of_Electric_Vehicles
Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done with Pandas, data visualization with Matplotlib and Seaborn, matrix manipulation with Numpy, unit testing with the Unittest python library and neural network training and testing with Keras.
ericmassip's Repositories
ericmassip/Smart_Charging_Of_Electric_Vehicles
Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done with Pandas, data visualization with Matplotlib and Seaborn, matrix manipulation with Numpy, unit testing with the Unittest python library and neural network training and testing with Keras.
ericmassip/enlighten-me
Simple tool to update the color of a LIFX bulb based on the carbon intensity of your region using data from the electricityMap, built with Python, Javascript and Flask.
ericmassip/ML-face-recognition
Small project to recognize faces using PCA for dimensionality reduction, and a variety of ML methods for classification (i.e. K-means, Linear SVM and K-NearestNeighbours)
ericmassip/MyCarbonFoodPrint
Dockerized web app built with Python and VueJS for users to know their CO2 emissions given their weekly input diet, as well as analyzing CO2 emissions of several countries given their food consumption.
ericmassip/anem-per-feina
Job portal application using Django
ericmassip/anem-per-feina-frontoffice
Front office of the Aném per feina job portal. Open source project developed during Hacktoberfest 20
ericmassip/CarbonFoodPrint
Web app built in Python with Pandas and Plotly Dash (Flask) for users to know their CO2 emissions given their weekly input diet, as well as analyzing CO2 emissions of several countries given their food consumption.
ericmassip/django-analytical
Analytics services for Django projects
ericmassip/G0B34a_knowledge_and_the_web
Computational Ad Hominem Detection model using word2vec, doc2vec, POS tags and a combined neural network of Bidirectional GRUs. Web demo built with Flask and VueJS.
ericmassip/in_the_name_of_deep_learning
Feature extraction using Deep Convolutional Autoencoders and image segmentation using Convolutional Neural Networks with various loss functions (Binary Cross-Entropy, Dice Coefficient) on the PASCAL dataset.
ericmassip/drf-yasg
Automated generation of real Swagger/OpenAPI 2.0 schemas from Django REST Framework code.
ericmassip/fastkml
Fast KML processing for python
ericmassip/InstagramPicturePopularityPrediction
This repository includes the scripts necessary to run a system that will predict how many likes a picture is gonna get before being posted on Instagram, using Pandas, Numpy, OpenCV, Tensorflow and Scikit-Learn.
ericmassip/kaggle
Repository to hold submissions to kaggle competitions
ericmassip/PokEETAC
Adaptation of the game PokémonGo for university written in Java. Offering an API with access to the SQL database with the game's info of all users and deploying a web server with Jenkins with info about the user's status and game admin settings (HTML, CSS, jQuery).
ericmassip/PokEETACGo
Android app of the game PokEETAC written in Java. It uses Geofences to detect people approaching Profemons.
ericmassip/predict-scores-laliga
ericmassip/Project_2_Image_Classification
Solution for the Project 2 Image Classification of the Udacity Deep Learning course, by Eric Massip
ericmassip/Project_3_GenerateTvScripts
Solution for the Project 3 Generate TV Scripts of the Udacity Deep Learning course, by Eric Massip
ericmassip/Project_4_Language_Translation
Solution for the Project 4 Language Translation of the Udacity Deep Learning course, by Eric Massip
ericmassip/Project_5_Face_Generation
Solution for the Project 5 Face Generation of the Udacity Deep Learning course, by Eric Massip
ericmassip/re-cycle
Mockup app for the WhatTheHack'19 hackathon built with Python, SQLite and VueJS, and deployed with Heroku. The app is meant to keep track of your cycling kilometers and reward you with discounts.
ericmassip/SolidSurfNicaragua
Beach resort information tool built as a hybrid app built with the Ionic Framework, Cordova and Typescript.
ericmassip/SurfEETAC
ericmassip/wenea_task
ericmassip/WifiLocator
Android app that locates the wifi addresses reachable with your phone and orders them by proximity. It can help detect what floor you're in based on the building.