Erin Trochim's repositories
coastal_topobathy
Team project aimed at extracting sections of tracklines, and identifying bathymetry and coastal morphology - can be extended to other questions!
collect-earth-online
Collect Earth Online
dcscn-super-resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis)
DeepTemporalClustering
Keras implementation of the Deep Temporal Clustering (DTC) model
downscaleR
An R package for climate data bias correction and downscaling (part of the climate4R bundle)
ee-tensorflow-notebooks
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
eeprimer
Primer for Google Earth Engine
era5_in_gee
Functions and Python scripts to ingest ERA5 data into Google Earth Engine
ForestStandHeight
SAR Handbook materials - Chapter 4
global-river-ice-dataset-from-Landsat
Python (Google Earth Engine), JavaScript (Google Earth Engine) and R code to extract river ice condition from Landsat satellites, to develop empirical model, and to predict future changes in river ice
GoogleEarthEngine-side-projects
Google Earth Engine side projects and tutorial scripts
hydra-floods
HYDrologic Remote sensing Analysis for Floods Python package
hydrofunctions
A suite of convenience functions for working with hydrology data in an interactive Python session.
image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
install_topoTools
Install python topo tools into Colab Notebook
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
magics
Plotting package to visualise meteorological data in GRIB, NetCDF, BUFR and ODB format.
n-beats
Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
notebooks
A collection of Planet OS Jupyter notebooks.
PIC
Permafrost Indices Computing
pyshp
This library reads and writes ESRI Shapefiles in pure Python.
scikit-downscale
Statistical climate downscaling in Python
Self-Supervised-Classification
Python code for self-supervised classification of remotely sensed imagery - part of the Deep Riverscapes project
sepal
Geographical Data Processing in the Cloud
shap
A game theoretic approach to explain the output of any machine learning model.
snow-dur-analysis
Google Earth Engine, Python and R scripts for analysing and visualising MODIS snow duration data in British Columbia
telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
website2022
ICESat-2 Hackweek 2022 landing page and jupyter book