bbhandari-woolpert

bbhandari-woolpert's Stars

• pbeukema/vessel-detection-sentinels

  Language:Jupyter Notebook1

• Jack-bo1220/Awesome-Remote-Sensing-Foundation-Models

  1k96

• wassname/satellite_leak_detection

  Detect water leaks from satellite images using machine learning

  Language:Jupyter Notebook2610

• facebookresearch/HighResCanopyHeight

  This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".

  Language:Python23941

• AI-Atlas/AI-Atlas

  A list of useful AI tools from across the web

  304

• ro-hit81/ML4EARTH

  Language:Jupyter Notebook72

• IDEA-Research/Grounded-SAM-2

  Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

  Language:Jupyter Notebook1.4k135

• Prindle19/efcoa

  G4G24: Embedding Fields Classification with Open Architectures

  Language:Jupyter Notebook4

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.9k1.7k

• Spiruel/UKFields

  Language:Python435

• SERVIR/servir-aces

  Agricultural Classification and Estimation Service

  Language:Jupyter Notebook144

• Earth-Intelligence-Lab/uncertainty-quantification

  121

• fusedio/udfs

  Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.

  Language:Python21343

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook8k5.9k

• Spartificial/yt-acad-projs

  YouTube Academic Projects Series is a youtube video series by Spartificial that provides free certified Machine Learning related student projects focusing on Space technology and Sustainable Development.

  Language:Jupyter Notebook2722

• langnico/global-canopy-height-model

  This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

  Language:Python14729

• superlinear-ai/agoro-field-boundary-detector

  Detect field boundaries using satellite imagery.

  Language:Jupyter Notebook3918