lfwa / carbontracker
Track and predict the energy consumption and carbon footprint of training deep learning models.
☆430Updated last month
Alternatives and similar repositories for carbontracker:
Users that are interested in carbontracker are comparing it to the libraries listed below
- ☆281Updated last year
- Track emissions from Compute and recommend ways to reduce their impact on the environment.☆1,321Updated this week
- 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…☆225Updated 4 months ago
- A Python library to capture the energy consumption of code snippets☆81Updated last month
- 🌱 The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development☆81Updated 4 years ago
- A basic framework for your PyTorch projects☆73Updated 5 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆242Updated 7 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆124Updated 9 months ago
- A curated list of awesome Green AI resources and tools to assess and reduce the environmental impacts of using and deploying AI.☆70Updated last week
- Enabling easy statistical significance testing for deep neural networks.☆332Updated 9 months ago
- Energy Consumption-Aware Tabular Benchmark For Neural Architecture Search☆11Updated last year
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆595Updated 2 months ago
- ☆137Updated last year
- Data Augmentation with Variational Autoencoders (TPAMI)☆140Updated 2 years ago
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆247Updated this week
- A library to inspect and extract intermediate layers of PyTorch models.☆472Updated 2 years ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,566Updated 6 months ago
- This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…☆33Updated 2 years ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆469Updated 3 weeks ago
- A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀☆126Updated 8 months ago
- scikit-activeml: Python library for active learning on top of scikit-learn☆161Updated this week
- Implementation and evaluation of "FedZero: Leveraging Renewable Excess Energy in Federated Learning"☆22Updated 7 months ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆32Updated 3 months ago
- a library to measure the python energy consumption of python code☆106Updated last month
- Drift Detection for your PyTorch Models☆315Updated 2 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…☆328Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆63Updated 2 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆218Updated 8 months ago
- 🌏 A curated list of tech projects against climate change - hoping to inspire disruptive technological climate action!☆199Updated 11 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆121Updated this week