microsoft/farmvibes-ai
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Repository profile
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.
Tracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-06-17 09:53
1 capture since 2026-06-17
Stars from baseline 0
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-06-17 09:53
pyproject.toml
python ecosystem,
27 dependencies
requirements.txt
python ecosystem,
12 dependencies
uv.lock
python ecosystem,
0 dependencies
agml/synthetic/synthetic_data_generation/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
agml/synthetic/synthetic_data_generation/SyntheticRadiation/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Postgres with GPUs for ML/AI apps.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
OpenMMLab Foundational Library for Training Deep Learning Models
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪