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@ml-energy

ML.ENERGY

ml-energy
Ann Arbor, MI

At The ML.ENERGY Initiative, we are working on building efficient ways of measuring, understanding, optimizing, and exposing the energy consumption of modern Machine Learning applications.

We make serious efforts to make all of our research outcomes to be usable in the real world.

1 sponsor has funded ml-energy’s work.

Private Sponsor

Featured work

  1. ml-energy/zeus

    Measure and optimize the energy consumption of your AI applications!

    Python 245
  2. ml-energy/leaderboard

    How much energy do GenAI models consume?

    Python 42
  3. ml-energy/lowtime

    A time-cost tradeoff problem solver

    Python 10
  4. ml-energy/amdsmi

    Python bindings for ROCm/AMDSMI

    Python 2

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