mlco2 / codecarbonLinks
Track emissions from Compute and recommend ways to reduce their impact on the environment.
☆1,685Updated this week
Alternatives and similar repositories for codecarbon
Users that are interested in codecarbon are comparing it to the libraries listed below
Sorting:
- Track and predict the energy consumption and carbon footprint of training deep learning models.☆473Updated 2 weeks ago
- 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…☆250Updated last year
- 🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.☆248Updated last week
- A Python library to capture the energy consumption of code snippets☆92Updated last month
- Référentiel d'évaluation data science responsable et de confiance☆74Updated last year
- ☆662Updated 2 months ago
- A curated list of awesome Green AI resources and tools to assess and reduce the environmental impacts of using and deploying AI.☆102Updated last month
- Compilation of high-profile real-world examples of failed machine learning projects☆744Updated last year
- Carbon-Aware SDK☆570Updated last month
- Measure energy consumption and carbon emissions of software - Timelines, git-integration, Comparions, Dashboards and Optimizations includ…☆238Updated this week
- 💾 Boavizta.org Data repository☆123Updated 2 years ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆728Updated last week
- PowerAPI is a Python framework for building software-defined power meters.☆246Updated this week
- A specification that describes how to calculate a carbon intensity for software applications.☆286Updated 3 weeks ago
- Croissant is a high-level format for machine learning datasets that brings together four rich layers.☆785Updated last week
- ⚡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications m…☆1,893Updated 11 months ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆512Updated 3 weeks ago
- nannyml: post-deployment data science in python☆2,122Updated 6 months ago
- Machine learning with dataframes☆1,551Updated this week
- Cloud Carbon Footprint is a tool to estimate energy use (kilowatt-hours) and carbon emissions (metric tons CO2e) from public cloud usage☆1,004Updated last week
- A Python package to assess and improve fairness of machine learning models.☆2,196Updated last week
- Notebook and sources for calculating the Cloud Carbon Coefficients used in the Cloud Carbon Footprint project.☆43Updated 2 years ago
- 🛠 Giving access to BOAVIZTA reference data and methodologies trough a RESTful API☆90Updated last week
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,712Updated last month
- Increasing carbon efficiency and footprint awareness for software applications.☆23Updated 4 years ago
- Reduce the environmental footprint of your software applications with this cutting-edge sonarQube plugin☆64Updated 2 years ago
- Kickstart your MLOps initiative with a flexible, robust, and productive Python package.☆1,389Updated this week
- Synthetic data generation for tabular data☆3,394Updated last week
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuni…☆3,288Updated last week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,124Updated last week