Showing 5 of 5 projects
An open-source SDK for logging, storing, querying, and visualizing multimodal, time-series data like images, point clouds, and tensors.
Deep Lake is a multimodal data lake and vector store optimized for AI, enabling scalable data management, retrieval, and training for LLM and deep learning applications.
A Python toolkit for working with the nuScenes and nuImages autonomous driving datasets, providing data loading, visualization, and evaluation utilities.
A visible-infrared paired dataset for low-light vision tasks like pedestrian detection, image fusion, and image-to-image translation.
A PyTorch deep generative model for integrating and imputing single-cell multimodal data with missing modalities.
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