Benoit Parmentier's repositories
deep_learning_with_satellite_imagery_and_geospatial_data
Intro to Deep learning applied to satellite and geospatial imagery
data_science_and_geospatial_analysis_with_python
Training and course in python for data science and geospatial analysis.
trends_harmonic_patterns
time series functionalities for trends analysis and pattern extraction
air-pollution-remote-sensing-deep-learning
Air pollution modeling using Deep Learning and Sentinel 5p and Sentinel 2
census-data-manipulation-in-Python-lesson
Get your data in shape with pandas.
convolutional_neural_network_intro
Examples applications using Convolutional Neural Network for course and training workshops
earth_engine_google
experimenting with google earth engine
general_utilities_data_analysis
functions and scripts used in multiple projects and of general interest for data science/analysis
georasters
GeoRasters is a Python module that provides a fast and flexible tool to work with GIS raster files.
postgres_postgis_intro
introduction code to connect to postgres/postgis database, query tables and do analyses (both spatial and non spatial)
time_series_patterns
sesync related analysis of time series, trends and variability
deep-learning-nlp-intro
An tinroduction to Deep Learning NLP modeling using pytorch
raster-proc
raster processing and modeling python package for Earth Observation data
rest-api-model-deployment-intro
Introduction to ML model deployment using REST api and GCP cloud computing
BostonTreeCanopy
This repo will host the code associated with the project with Alessandro Ossola about front yard/ back yard vegetation in Boston.