Name: Kyle M. Kabasares
Type: User
Company: Bay Area Environmental Research Institute
Bio: Physics PhD from the University of California, Irvine working at the Bay Area Environmental Research Institute as a Data Scientist
Twitter: AstronoMisfit
Location: Moffett Field
Blog: https://www.kylekabasares.com
Kyle M. Kabasares's Projects
A collection of open-source tools for processing point cloud data from the United States Geological Survey (USGS) 3D Elevation (3DEP) Program.
A set of programs I have developed for the purpose of ALMA gas-dynamical modeling of circumnuclear disks.
Applied Geospatial Data Science with Python, published by Packt
Repository for Jupyter notebooks and Python routines used in the Cal-Bridge summer research project I supervised in Summer 2020.
A side passion project of mine that I started to get experience with web scraping and machine learning.
Officiel implementation of the paper BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
Cloud masking for Landsat-8 & Sentinel-2
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
This repo contains interactive code examples from the 2021 book "Earth Observation Using Python."
Derived ecological variables from Denmark's national LiDAR/ALS data
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This is following the GitHub tutorial page.
Folder containing the jupyter notebooks and Python scripts for the IBM Data Science Capstone Project.
Laserchicken Framework for Applications in Research in Macro-ecology
A collection of scripts used to create the figures and plots from my NASA internship project from the summer of 2016.
Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
The following repository is for Jupyter Notebooks I created as the Graduate Teaching Assistant for UC Irvine's Physics 139: Observational Astronomy Course. These notebooks are meant for educational purposes to instruct students on how to perform certain tasks to analyze astronomical data.
This repository is an example repository for homework submissions for Earth Analytics courses.
Understanding Deep Learning - Simon J.D. Prince
A set of programs used to analyze data from the USGS 3DEP program.