Activeloop, a dataset optimization company, seamlessly manages data for deep learning applications. Activeloop automatically connects unstructured data to machine learning models. Its open-source package Hub (http://github.com/activeloopai/Hub); 3.3K+ stars) enables data streaming, scalable machine learning pipelines, dataset version control for distributed workloads.

Software

Activeloop

Activeloop's headquarters in San Francisco, CA, United States

Engineering

The Engineering Team at Activeloop develops and maintains the core infrastructure and features of the Hub open-source package, ensuring efficient data streaming and scalable machine learning pipelines. Team members collaborate to optimize dataset management, enhance dataset version control, and integrate advanced machine learning functionalities, while also focusing on frontend user experience and application performance.

Engineering Team

The Leadership Team at Activeloop is responsible for setting the strategic vision and direction of the company, ensuring alignment across all departments to drive innovation in dataset optimization for deep learning. They oversee major decision-making processes, foster a culture of collaboration, and are key in developing partnerships that enhance the company’s market presence and product offerings.

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Engineering Team

Leadership Team