mlco2 / impactLinks
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 results to your paper with our generated latex template
☆247Updated last year
Alternatives and similar repositories for impact
Users that are interested in impact are comparing it to the libraries listed below
Sorting:
- Track and predict the energy consumption and carbon footprint of training deep learning models.☆471Updated 3 weeks ago
- ☆289Updated last year
- Track emissions from Compute and recommend ways to reduce their impact on the environment.☆1,642Updated this week
- API Client for paperswithcode.com☆187Updated last year
- A toolkit that streamlines and automates the generation of model cards☆441Updated 2 years ago
- Croissant is a high-level format for machine learning datasets that brings together four rich layers.☆768Updated this week
- The AI Incident Database seeks to identify, define, and catalog artificial intelligence incidents.☆218Updated this week
- The Foundation Model Transparency Index☆83Updated this week
- Materials for The Alan Turing Institute's Research Software Engineering course☆261Updated 7 months ago
- A curated list of awesome Green AI resources and tools to assess and reduce the environmental impacts of using and deploying AI.☆97Updated last week
- The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.☆196Updated last year
- Python Client for the Aleph Alpha API☆97Updated 3 months ago
- Stanford CRFM's initiative to assess potential compliance with the draft EU AI Act☆93Updated 2 years ago
- AI Data Management & Evaluation Platform☆216Updated 2 years ago
- A Python library to capture the energy consumption of code snippets☆90Updated 5 months ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆502Updated 3 weeks ago
- Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)☆314Updated 2 weeks ago
- Educational materials for universities☆375Updated 2 years ago
- Introduction to Data-Centric AI, MIT IAP 2024 🤖☆103Updated 5 months ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆33Updated last month
- The robust European language model benchmark.☆142Updated this week
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆250Updated last month
- Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.☆222Updated 3 years ago
- just a bunch of useful embeddings for scikit-learn pipelines☆520Updated 2 months ago
- A Simple Bulk Labelling Tool☆598Updated 4 months ago
- List of datasets to apply stats/machine learning/technology to the world of social good.☆247Updated 5 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆214Updated last year
- Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.☆565Updated last year
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆118Updated last year
- Coarse-grained lineage and tracing for machine learning pipelines.☆470Updated 3 years ago