gisbeginner's starred repositories
servir-aces
Agricultural Classification and Estimation Service
climate_indices
Climate indices for drought monitoring
SMARTFARMER
SMARTFARMER aims to develop and make available a digital information service that provides farmers in western Kenya - including smallholders - with information that helps them to make improved farm management decisions during the growing season. SMARTFARMER project will further develop our agro advisory service by integrating satellite imagery with weather data, soil data and farm management information through the WOFOST crop model to provide farmers with practical advice and recommendations exactly when they need it. This information will be used to make comprehensible, farm and crop specific recommendations for farmer practices, which will be disseminated to the farmers via SMS.
image_slicer
Split images into tiles. Join the tiles back together.
finetune-anything
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
geopackage-mapcache-android
GeoPackage MapCache Android App
Pangu-Weather
An official implementation of Pangu-Weather
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
react-native-location-tracking
Track User location and draws the path you have taken
react-native-osmdroid
React Native wrapper for osmdroid maps
gpt-code-ui
An open source implementation of OpenAI's ChatGPT Code interpreter
terravibes-digitalag22
Code and tutorials for the TerraVibes Tech Session at the 2022 Digital Ag Hackathon by Cornell
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.