Sophie's repositories
torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
solara
A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
SOPHIEZANG.github.io
My personal website!
SOPHIEZANG
My GITHUB PROFILE
GEOG-510
A report for GEOG-510
ARSET_ML_Fundamentals
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
techniques
Techniques for deep learning with satellite & aerial imagery
2017MLSpring_Hung-yi-Lee
Hung-Yi Lee ML 2017 Spring Homework
grass
GRASS GIS - free and open source Geographic Information System (GIS)
polars
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
csdl
Corn Soy Data Layer
gee-tutorials
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
georasters
GeoRasters is a Python module that provides a fast and flexible tool to work with GIS raster files.
spectrum
Spectral Analysis in Python
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Earth_Observation
earth_obr_repo
My-journey-of-adjusting-parameters-in-CNN
This Code presents how to build and adjust parameters in CNN (Convolutional Neural Network) model to solve the Traffic project of CS50ai. With Keras layers, such as Conv2D, BatchNormalization, Relu, Maxpooling2D, I made up a big layer, repeated 3 times, and then data through Dropout, Flattern, Dense layers. I finally got the output as classification result.
dnn_reco
IceCube DNN reconstruction
deepwatermap
a deep model that segments water on multispectral images
geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
felicette
Satellite imagery for dummies.