Name: Benoit Parmentier
Type: User
Company: Premise Data
Bio: Data scientist, ML engineer, geospatial scientist/esearcher with expertise in data engineering, machine learning, deep learning, NLP and Computer Vision.
Location: Washington DC
Blog: benoitparmentier.org
Benoit Parmentier's Projects
Air pollution modeling using Deep Learning and Sentinel 5p and Sentinel 2
This repo will host the code associated with the project with Alessandro Ossola about front yard/ back yard vegetation in Boston.
Intro to modelling using Stan
Get your data in shape with pandas.
Examples applications using Convolutional Neural Network for course and training workshops
Training and course in python for data science and geospatial analysis.
An tinroduction to Deep Learning NLP modeling using pytorch
Intro to Deep learning applied to satellite and geospatial imagery
experimenting with google earth engine
methods comparison
Analyses of flow data for 2001-2009 period
functions and scripts used in multiple projects and of general interest for data science/analysis
GeoRasters is a Python module that provides a fast and flexible tool to work with GIS raster files.
summer institute sesync repo repoducible pipeline lesson
Fill in the blanks.
High Performance Computing example scripts using SLURM and PBS schedulers
land cover change modeling methods
Trends and classification of fire and land change in Alaska
land cover change modeling in Yucatan
EOT, EOF and derived analyses