TransferLab
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About
The TransferLab aims to identify, test and disseminate established and emerging techniques in machine learning in order to provide practitioners and businesses with the best tools for their applications. We constantly survey multiple fields in AI/ML with the goal of distilling useful knowledge for practitioners in industry and academia. Research at the TransferLab is not measured in publications or conference appearances but by its long-term impact on the people and companies applying machine learning. Our work is not done when the paper is published, but when we have created software, trainings, blogposts and other resources that help practitioners to benefit from it.
Platform
Task
Features
• focuses on advances and fundamentals in ml
• focuses on trustworthy and interpretable ml
• focuses on efficient machine learning
• focuses on safety and reliability in ml systems
• publishes blog posts and other resources
• offers training programs
• provides software resources
• identifies, tests, and disseminates machine learning techniques
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