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Project-AgML/AgML

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.

Python Apache-2.0 main Stack scanned README.md
Stars
293
Forks
45
Watchers
15
Issues
13
Commits
1,093
Awesome lists
1

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Activity and growth

Tracked growth, recent movement, and commit velocity from stored repository snapshots.

Latest capture 2026-07-18 03:02

Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
Stars since baseline
+9
Snapshot coverage
3

Tracked growth

3 captures since 2026-06-17

Stars from baseline +9

Time horizon

All tracked data

Stars history

Total stars

Commits history

Default branch commits

Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-07-18 03:02

Stack signals
1
Package managers
2
Manifest files
4
Dependencies
25

Frameworks and tools

  • pytest test framework · high confidence
CMake uv c-cpp python

Dependency files

4 manifests
  • pyproject.toml python ecosystem, 25 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

Classification

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Topics
9
Tags
0
Stacks
1

AI development signals

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0 paths
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Metadata

Language
Python
License
Apache-2.0
Default branch
main
Created
2021-10-29
First commit
2021-09-05
Last pushed
2026-07-10
GitHub updated
2026-07-15
Last synced
2026-07-18 03:02
Stack detected
2026-07-18 03:02
Archived
no
GitHub Website

https://project-agml.github.io

README

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