awesome-reasoning
awesome-open-data-centric-ai
| awesome-reasoning | awesome-open-data-centric-ai | |
|---|---|---|
| 1 | 1 | |
| 90 | 678 | |
| - | - | |
| 7.9 | 5.8 | |
| 3 days ago | 6 months ago | |
| - | Creative Commons Attribution 4.0 |
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awesome-reasoning
awesome-open-data-centric-ai
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
Here is the link to the Github repo: https://github.com/Renumics/awesome-open-data-centric-ai Do you think there are tools missing? Please let me know or feel free to submit a pull request.
What are some alternatives?
internet-explorer - Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.
spotlight - Interactively explore unstructured datasets from your dataframe.
Encord Active - Open source active learning toolkit to find failure modes in your computer vision models, prioritize data to label next, and drive data curation to improve model performance.
WhereIsAI - AI company, product, and tool collection.
awesome-synthetic-data - 📖 A curated list of resources dedicated to synthetic data
Awesome-Learning-with-Label-Noise - A curated list of resources for Learning with Noisy Labels
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.