A centralized framework for agricultural machine learning.
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 pre-trained models, as well the ability to generate synthetic data and annotations.
Platform to design molecules, plan synthesis routes, and optimize chemical processes.
First rigorous benchmark for advancing multimodal dataset creation.
A quality-controlled food knowledge graph constructed from scientific literature with large language models.
Cyberinfrastructure services for automated data labeling, image segmentation, model serving, and edge deployment, usable across any field.
An interpretable neural network that helps scientists discover mathematical and physical laws
MutateEverything predicts the effect of all single and double protein mutations in one forward pass. It is even versatile enough to predict higher-order mutations with minimal computational overhead.
An open source implementation of OpenAI's CLIP