Breakend / experiment-impact-tracker
☆282Updated last year
Alternatives and similar repositories for experiment-impact-tracker:
Users that are interested in experiment-impact-tracker are comparing it to the libraries listed below
- Track and predict the energy consumption and carbon footprint of training deep learning models.☆433Updated 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…☆228Updated 5 months ago
- 🌱 The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development☆80Updated 4 years ago
- Enabling easy statistical significance testing for deep neural networks.☆334Updated 9 months ago
- Track emissions from Compute and recommend ways to reduce their impact on the environment.☆1,345Updated this week
- Unit Testing for pytorch, based on mltest☆310Updated 4 years ago
- Create interactive textual heat maps for Jupiter notebooks☆196Updated 10 months ago
- HetSeq: Distributed GPU Training on Heterogeneous Infrastructure☆106Updated last year
- Docs☆143Updated 4 months ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- Robustness Gym is an evaluation toolkit for machine learning.☆441Updated 2 years ago
- Live Python Notebooks with any Editor☆278Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".☆262Updated last year
- ☆103Updated 4 years ago
- To Run, Manage and Visualize Large Scale Experiments☆167Updated last year
- ☆74Updated 5 years ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆310Updated 2 years ago
- A High Level API for Deep Learning in JAX☆475Updated 2 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆175Updated 2 years ago
- AI/ML citation graph with postgres + graphql☆187Updated 4 years ago
- A deep learning framework for building multimodal multi-task learning systems.☆109Updated last year
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆337Updated 4 years ago
- Functional deep learning☆108Updated 2 years ago
- A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.☆310Updated 4 months ago
- BibTeX citations for Python and common (machine learning) packages.☆72Updated 2 years ago
- ☆153Updated 4 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 4 years ago
- Experiment orchestration☆103Updated 4 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆155Updated 7 months ago
- Visualising the Transformer encoder☆111Updated 4 years ago