-
labeling-evaluation Public
AI labels can bridge communication gaps, promote trust, and act as a lever for sustainable development!
-
strep Public
Initiating a paradigm shift in reporting and helping with making ML advances more considerate of sustainability and trustworthiness.
-
ai-energy-validation Public
Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
-
codecarbon-add-cpu Public
Forked from mlco2/codecarbonTrack emissions from Compute and recommend ways to reduce their impact on the environment.
Python MIT License UpdatedSep 2, 2025 -
xpcr Public
Automatically select DNNs for time series forecasting under consideration of complexity and resource consumption.
-
ai-efficiency-testbed Public
An experimental testbed for evaluating resource efficiency of ML models
Python UpdatedApr 17, 2025 -
-
metaqure Public
MetaQuRe - code and data for rethinking and performing AutoML and meta-learning in a resource-aware way
-
-
-
-
-
probgapfilling Public
Probabilistic gap filling for spatio-temporal data.
{{ message }}