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FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
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docs/requirements.txt
python ecosystem,
7 dependencies
src/vibe_agent/setup.py
python ecosystem,
16 dependencies
src/vibe_common/setup.py
python ecosystem,
23 dependencies
src/vibe_core/pyproject.toml
python ecosystem,
13 dependencies
src/vibe_core/setup.py
python ecosystem,
0 dependencies
src/vibe_dev/setup.py
python ecosystem,
4 dependencies
src/vibe_lib/setup.py
python ecosystem,
3 dependencies
src/vibe_notebook/setup.py
python ecosystem,
6 dependencies
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A free and open database for farming and gardening knowledge. You can grow anything!
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Simple and Distributed Machine Learning
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
GeoAI: Artificial Intelligence for Geospatial Data