Behavioral Analysis via Self-Supervised Transformers
A self-supervised transformer-based framework for modeling animal behavior from video, enabling neural encoding, pose estimation, and action segmentation from unlabeled data.
Beast is a package for pretraining vision transformers on unlabeled data to provide backbones for downstream tasks like pose estimation, action segmentation, and neural encoding.
A centralized framework for agricultural machine learning.
Platform to design molecules, plan synthesis routes, and optimize chemical processes.
First rigorous benchmark for advancing multimodal dataset creation.
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