mlco2 / codecarbon
Track emissions from Compute and recommend ways to reduce their impact on the environment.
☆1,313Updated this week
Alternatives and similar repositories for codecarbon:
Users that are interested in codecarbon are comparing it to the libraries listed below
- Track and predict the energy consumption and carbon footprint of training deep learning models.☆429Updated 3 weeks ago
- ☆282Updated last year
- ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the result…☆224Updated 4 months ago
- 💾 Boavizta.org Data repository☆119Updated 2 years ago
- Measure energy and carbon consumption of software☆200Updated this week
- Référentiel d'évaluation data science responsable et de confiance☆73Updated 6 months ago
- 🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.☆141Updated 2 weeks ago
- ⚡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications m…☆1,703Updated last month
- Python package to monitor the power consumption of any algorithm☆46Updated 2 years ago
- Reduce the environmental footprint of your software programs with SonarQube☆196Updated 2 weeks ago
- Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead…☆587Updated this week
- 🛠 Giving access to BOAVIZTA reference data and methodologies trough a RESTful API☆82Updated this week
- Natural Intelligence is still a pretty good idea.☆805Updated 8 months ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,086Updated 2 weeks ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆467Updated 3 weeks ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,860Updated last week
- nannyml: post-deployment data science in python☆2,042Updated 2 months ago
- A specification that describes how to calculate a carbon intensity for software applications.☆274Updated 6 months ago
- Algorithms for outlier, adversarial and drift detection☆2,329Updated last week
- A curated list of awesome Green AI resources and tools to assess and reduce the environmental impacts of using and deploying AI.☆70Updated this week
- 🦘 Explore multimedia datasets at scale☆1,053Updated 3 months ago
- Croissant is a high-level format for machine learning datasets that brings together four rich layers.☆556Updated this week
- A Python package to assess and improve fairness of machine learning models.☆2,035Updated this week
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆5,910Updated this week
- the scikit-learn sidekick☆362Updated this week
- Prepping tables for machine learning☆1,326Updated last week
- Notebook and sources for calculating the Cloud Carbon Coefficients used in the Cloud Carbon Footprint project.☆40Updated last year
- PowerAPI is a Python framework for building software-defined power meters.☆220Updated this week
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆782Updated 11 months ago
- Algorithms for explaining machine learning models☆2,473Updated last week