laspg's repositories
2021-Cloud-Hackathon
2021 NASA Cloud Hackathon co-hosted by PODAAC, NSIDC and LPDAAC, with support provided by ASDC, GESDISC, IMPACT and NASA Openscapes.
book-python
Python 3: from None to Machine Learning; ISBN: 9788395718625
Brain-Tumor-Segmentation-in-TensorFlow-2.0
Brain Tumor Segmentation dataset using TensorFlow
ClimateLaboratoryBook
JupyterBook source for The Climate Laboratory
climlab
Python package for process-oriented climate modeling
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
earthdata-cloud-cookbook
A tutorial book of workflows for research using NASA EarthData in the Cloud created by the NASA-Openscapes team
EDSF
Community supported EDISON Data Science Framework
GeoDataSets
Synthetic datasets for geoscience (geo)statistical modeling
introduction-to-datascience
open source textbook for DSCI 100
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
jekyll-now
Build a Jekyll blog in minutes, without touching the command line.
m_mhw1.0
A MATLAB toolbox to detect and analyze MHWs.
MachineLearningCourse
My graduate level machine learning course, including student machine learning projects.
mamba
The Fast Cross-Platform Package Manager
mom-ocean.github.io
Modular Ocean Model (MOM) Documentation
numeric_students
notebooks for A409/E511
numerical-methods-python
Numerical methods implementation in Python 3.
numpy-tutorials
NumPy tutorials & educational content in notebook format
oceanhackweek.github.io
GitHub repo for the OceanHackweek website
parcels
Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)
PyEarthScience
The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
quant_methods
Applied Quantitative Methods course at the College of Charleston
Resources
Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz
ROMSPath
Offline Particle Tracking Project for ROMS output. Based on LTRANS
scikit-downscale
Statistical climate downscaling in Python
WW3
WAVEWATCH III