AgML
Agricultural ML framework
A Python framework providing access to public agricultural datasets and pre-trained models for deep learning tasks.
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.
189 stars
14 watching
29 forks
Language: Python
last commit: about 1 month ago
Linked from 2 awesome lists
agriculturecomputer-visiondatasetdeep-learningimage-classificationobject-detectionpytorchsemantic-segmentationsynthetic-data
protontypes/open-sustainable-technology
brycejohnston/awesome-agricultureRelated projects:
| Repository | Description | Stars |
|---|---|---|
 microsoft/farmvibes-ai | A framework for building geospatial machine learning models that fuse multiple datasets to gain insights into agriculture and sustainability | 694 |
 cdipaolo/goml | A Go library that provides an online machine learning framework with various algorithms and models | 1,574 |
 aimclub/fedot | An automated machine learning framework that generates optimal machine learning pipelines for various real-world problems. | 649 |
 sb-ai-lab/lightautoml | A framework for creating machine learning models with minimal code and customization options | 1,235 |
 apsiminitiative/apsimx | An advanced agricultural modeling framework built in C# | 140 |
 thumnlab/autogl | An autoML framework for machine learning on graphs, enabling researchers and developers to automate the process of building and training neural networks on graph data. | 1,094 |
 anshuman73/deml-golem | A proof-of-concept implementation of decentralized machine learning on top of the Golem architecture | 43 |
 erfanzar/easydel | A framework for training and serving machine learning models using JAX, with a focus on flexibility and customization. | 212 |
 eugeneyan/applied-ml | Curated collection of papers and articles on data science and machine learning practices in production environments. | 27,407 |
 opengvlab/lamm | A framework and benchmark for training and evaluating multi-modal large language models, enabling the development of AI agents capable of seamless interaction between humans and machines. | 305 |
 antoniogarrote/clj-ml | A Clojure library for machine learning built on top of Weka and friends | 148 |
 a3data/hermione | A framework for simplifying machine learning development and deployment | 207 |
 google/paxml | A framework for configuring and running machine learning experiments on top of Jax. | 461 |
 datacanvasio/hypernets | An automated machine learning framework that simplifies the development of end-to-end AutoML toolkits in specific domains. | 267 |
 scottfreellc/alphapy | An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms. | 1,170 |