Ishaan Kochhar's Projects
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
Long list of geospatial tools and resources
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A collection of awesome readme templates to display on your github profile.
List of datasets, codes, and contests related to remote sensing change detection
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.
Python (3.8+) version of CLIMADA
Python package to easy access to weather and climate data
PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Mapping Network in Complex Domain
A repository of custom scripts to be used with Sentinel Hub
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray
Land subsidence and sea level rise forecast model for global deltas
List of all datasets included in Google Earth Engine (generated from https://developers.google.com/earth-engine/datasets/catalog/)
Python client for NASA CMR
A series of Jupyter notebook to learn Google Earth Engine with Python
Script and data from: "A Gridded Dataset to Assess Electrification in Sub-Saharan Africa" by Giacomo Falchetta, Shonali Pachauri, Simon Parkinson, and Ed Byers
Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and the tracking of UN's Sustainable Development Goals
Earth observation processing framework for machine learning in Python
Interactive reports to analyze machine learning models during validation or production monitoring.
8th place solution to Zindi's FarmPin Crop Detection Challenge
Pangeo tutorial at FOSS4G 2021
🛠️ 🌐 Thematic list of high-quality data science resources
:books: Freely available programming books
Ghana Land Use Project
Tutorials for making 3D-looking maps with Blender and QGIS