TransferLab

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About
TransferLab aims to identify, test, and disseminate established and emerging machine learning techniques, providing practitioners and businesses with optimal tools for their applications. They constantly survey various AI/ML fields to distill useful knowledge for both industry and academia. Their research impact is measured by long-term benefits to people and companies applying ML, rather than just publications. Work continues until software, trainings, blogposts, and other resources are created to help practitioners. Key areas of interest include safety and reliability in ML systems, efficient machine learning, trustworthy and interpretable ML, and advances and fundamentals in ML.
Platform
Task
Features
• software development
• blog posts
• fundamental ml advancements
• trustworthy ml development
• efficient ml solutions
• safety in ml systems
• research resources
• ml training programs
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