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@mlatcl

ML at the Cambridge Computer Lab

ML@CL seeks to advance the safe and reliable deployment of machine learning systems to tackle the real-world challenges.

Popular repositories

  1. mlphysical mlphysical Public

    Machine Learning and the Physical World module

    HTML 24 6

  2. mlai mlai Public

    Machine learning and adaptive intelligence course

    HTML 9

  3. gpss gpss Public

    Talks from the Gaussian Process Summer School

    HTML 8 1

  4. fbp-vs-soa fbp-vs-soa Public

    Comparison of flow-based programming and service-oriented architecture for building data-driven applications

    Jupyter Notebook 6 2

  5. deepnn deepnn Public

    Deep Neural Networks Module

    Jupyter Notebook 4 5

  6. r255 r255 Public

    Lectures given in the department's Advanced Topics in Machine Learning

    HTML 3

Repositories

Showing 10 of 30 repositories
  • cmci Public

    Chaotic Monke Call Identification

    Python 1 MIT 1 0 0 Updated Apr 30, 2024
  • mlai Public

    Machine learning and adaptive intelligence course

    HTML 9 0 0 0 Updated Mar 20, 2024
  • r255 Public

    Lectures given in the department's Advanced Topics in Machine Learning

    HTML 3 0 0 0 Updated Jan 24, 2024
  • dsa Public

    Lectures from data science events in Africa.

    Jupyter Notebook 2 0 0 0 Updated Nov 15, 2023
  • r250 Public

    Lectures given in the departments Advanced Topics in Machine Learning or NLP Module

    HTML 1 0 0 0 Updated Nov 15, 2023
  • gpss Public

    Talks from the Gaussian Process Summer School

    HTML 8 1 0 0 Updated Nov 15, 2023
  • deepnn Public

    Deep Neural Networks Module

    Jupyter Notebook 4 5 0 7 Updated Nov 14, 2023
  • execed Public

    Short course targeted at Exec Ed on Machine Learning, AI and Data Science

    HTML 1 0 0 0 Updated Nov 14, 2023
  • mlphysical Public

    Machine Learning and the Physical World module

    HTML 24 6 0 2 Updated Nov 10, 2023
  • advds Public

    Advanced Data Science unit

    HTML 2 3 0 0 Updated Nov 10, 2023

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