Stars
Build Mesop apps using LLMs. Built using Mesop.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
Cloud-Optimize your Scientific Data as Virtual Zarr stores, using xarray syntax.
G4G24: Embedding Fields Classification with Open Architectures
A small utility for generating ND array pyramids using Xarray and Zarr.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Facilitates transferring on-demand SAR products processed by ASF's HyP3 to Google Earth Engine.
tools to subset hydrofabrics, generate forcings, create default realizations
Export Google Earth Engine metrics with labels into BigQuery
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Google Research
NextGen In A Box: NextGen Generation Water Modeling Framework for Community Release (Docker version)
Running Segment Anything Geospatial over Earth Engine exports with Dataflow at scale.
Materials for the May 2023 CIROH Developers Conference
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
Distributed Model on Demand infrastructure for OWP's Model as a Service
Deploy Tensorflow models to Google Cloud Platform for automating predictions on Earth Engine imagery
The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating additional compatible optical mission sensors.