David Campo's repositories
programming_challenges
Solutions to programming problems of several judges / contests (UVa, SPOJ, URI, Topcoder, Codefights, etc.)
anomaly-detector
PoC for anomaly detection on arbitrary datasets
deep-learning
Deep learning implementations of CIFASIS' course on deep networks
dotfiles
Default configuration for Le Wagon's students
edx-course-DAT210x
Files and assigments for the edX course DAT210x Programming with Python for Data Science
courses_fullstack
Fullstack dev course homework
kohonen-maps
Implementation of SOM and GSOM
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
machine-learning-zoomcamp
The code from the Machine Learning Bookcamp book and a free course based on the book
MLZoomcamp
All related to ML Zoomcamp by DataTalk.Club on https://github.com/DataTalksClub/machine-learning-zoomcamp
opensource
Umbrella project for Aseprite organization on GitHub
owc-firmware
Unified firmware for OpenWaterControl (fork of OpenSprinkler)
productionalizing-data-pipelines-airflow
Productionalizing Data Pipelines with Apache Airflow
real-time-inference-ai-service
FIWARE tutorial: building real-time inference AI Service with FIWARE.
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
tennis_MatchChartingProject
Raw, user-submitted point-by-point data for pro tennis matches
tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
tutorials.Edge-Computing
:green_book: FIWARE 507: Cloud-Edge Processing
tutorials.Entity-Relationships
:blue_book: FIWARE 102: Batch Commands and Entity Relationships
tutorials.Getting-Started
:blue_book: FIWARE 101: An Introduction to the FIWARE Platform
tutorials.Step-by-Step
:books: Complete collection of tutorials for the FIWARE ecosystem for NGSI-v2 developers
tutorials.Understanding-At-Context
:blue_book: FIWARE-LD 101: Understanding NGSI-LD `@context`