HazyResearch / data-centric-ai
Resources for Data Centric AI
☆1,111Updated last year
Alternatives and similar repositories for data-centric-ai:
Users that are interested in data-centric-ai are comparing it to the libraries listed below
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,583Updated 7 months ago
- A curated, but incomplete, list of data-centric AI resources.☆1,103Updated 10 months ago
- Software Architecture for ML engineers☆403Updated 2 years ago
- Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.☆1,337Updated last year
- Curated list of open source tooling for data-centric AI on unstructured data.☆719Updated last year
- Host repository for the "Reproducible Deep Learning" PhD course☆406Updated 3 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆590Updated 2 years ago
- Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖☆334Updated last year
- Flexible components pairing 🤗 Transformers with Pytorch Lightning☆608Updated 2 years ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,720Updated 3 weeks ago
- Pytorch Lightning code guideline for conferences☆1,262Updated last year
- OmniXAI: A Library for eXplainable AI☆916Updated 9 months ago
- Bayesian active learning library for research and industrial usecases.☆895Updated 10 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆859Updated last year
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆698Updated last month
- The Fuzzy Labs guide to the universe of open source MLOps☆461Updated 9 months ago
- Drift Detection for your PyTorch Models☆316Updated 2 years ago
- Algorithms for explaining machine learning models☆2,495Updated last month
- A curated list of programmatic weak supervision papers and resources☆190Updated 2 years ago
- Behavioral "black-box" testing for recommender systems☆467Updated last year
- Robustness Gym is an evaluation toolkit for machine learning.☆441Updated 2 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆564Updated last year
- 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…☆330Updated last year
- [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark☆223Updated last year
- Beyond Accuracy: Behavioral Testing of NLP models with CheckList☆2,033Updated last year
- Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the…☆2,030Updated 8 months ago
- A Unified Library for Parameter-Efficient and Modular Transfer Learning☆2,698Updated this week
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆961Updated 2 years ago
- The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…☆805Updated 3 years ago