saintslab / carbontrackerLinks
Track and predict the energy consumption and carbon footprint of training deep learning models.
☆466Updated this week
Alternatives and similar repositories for carbontracker
Users that are interested in carbontracker are comparing it to the libraries listed below
Sorting:
- ☆287Updated 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…☆243Updated last year
- Track emissions from Compute and recommend ways to reduce their impact on the environment.☆1,610Updated this week
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆630Updated 4 months ago
- 🌱 The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development☆79Updated 5 years ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆718Updated last week
- Materials for The Alan Turing Institute's Research Software Engineering course☆259Updated 6 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆249Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆235Updated 3 months ago
- Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥…☆476Updated last week
- The long missing library for python confidence intervals☆143Updated last year
- Drift Detection for your PyTorch Models☆323Updated 3 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆343Updated 2 years ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆178Updated last week
- A framework for conducting machine learning experiments in python☆42Updated 11 months ago
- Enabling easy statistical significance testing for deep neural networks.☆338Updated last year
- skops is a Python library helping you share your scikit-learn based models and put them in production☆501Updated last week
- A toolkit that streamlines and automates the generation of model cards☆440Updated 2 years ago
- A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀☆149Updated last year
- PyTorch-centric library for evaluating and enhancing the robustness of AI technologies☆57Updated last year
- A library to inspect and extract intermediate layers of PyTorch models.☆474Updated 3 years ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,688Updated last week
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆138Updated last year
- ☆139Updated 2 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated 2 months ago
- The M2L school 2022 tutorials☆37Updated 3 years ago
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆250Updated last month
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- Introduction to Data-Centric AI, MIT IAP 2024 🤖☆103Updated 4 months ago
- A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evalu…☆196Updated 4 months ago