AutoML
Empowering Machine Learning Automation
AutoML is a major topic in the machine learning community and beyond. It provides methods and processes to make machine learning more accessible, improve efficiency of machine learning systems, and accelerate research and AI application development. The academic research groups at the University of Freiburg, Leibniz University of Hannover, and University of Tübingen develop new state-of-the-art approaches and open-source tools for hyperparameter optimization, neural architecture search, and dynamic algorithm configuration. The collaboration between the groups aims to push the frontier of AutoML with a team of roughly 30 international researchers.
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AutoML
AutoML is a major topic in the machine learning community and beyond. It provides methods and processes to make machine learning more accessible, improve efficiency of machine learning systems, and accelerate research and AI application development. The academic research groups at the University of Freiburg, Leibniz University of Hannover, and University of Tübingen develop new state-of-the-art approaches and open-source tools for hyperparameter optimization, neural architecture search, and dynamic algorithm configuration. The collaboration between the groups aims to push the frontier of AutoML with a team of roughly 30 international researchers.
TensorFlow
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PyTorch
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ConsciousML
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Weights & Biases
Weights & Biases is a machine learning platform that helps data scientists and engineers build, train, and deploy machine learning models. It provides a central location to track and manage all of your machine learning projects, and it offers a variety of tools to help you collaborate with others and share your work.
INSAIT
INSAIT is an Institute for Computer Science, Artificial Intelligence, and Technology located in Sofia, Bulgaria. The institute focuses on cutting-edge research areas such as Computer Vision, Robotics, Quantum Computing, Machine Learning, and Regulatory AI Compliance. INSAIT is known for its collaboration with top universities and organizations, as well as its commitment to fostering a diverse and inclusive environment for students and researchers.
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Linnk AI
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AutoML
AutoML is a major topic in the machine learning community and beyond. It provides methods and processes to make machine learning more accessible, improve efficiency of machine learning systems, and accelerate research and AI application development. The academic research groups at the University of Freiburg, Leibniz University of Hannover, and University of Tübingen develop new state-of-the-art approaches and open-source tools for hyperparameter optimization, neural architecture search, and dynamic algorithm configuration. The collaboration between the groups aims to push the frontier of AutoML with a team of roughly 30 international researchers.
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