ICESat-2 Hackweek 2023 tutorials and event website

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Code for the online course "Deployment of Machine Learning Models"

Image augmentation library in Python for machine learning.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Global shoreline mapping tool from satellite imagery

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Greenland Ice Sheet solid ice discharge from 1986 through March 2020

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

A python package that extends Google Earth Engine.

Python and JavaScript bindings for calling the Earth Engine API.

Google Earth Engine Tools (scripts)

a deep model that segments water on multispectral images

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

Greenland liquid water runoff from 1958 through 2019

A Grammar of Animated Graphics

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine

framework for large-scale SAR satellite data processing

A set of tools to use in Google Earth Engine Code Editor (JavaScript)

python kalman filter for object points in image. time < 0.1ms per point

Geothermal Heat Flux Prediction in Greenland with Gradient Boosted Regression Trees