awesome-open-data-centric-ai
Awesome-Learning-with-Label-Noise
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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.
Awesome-Learning-with-Label-Noise
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[D] Should expert opinion be a bigger part of the Machine Learning world?
And then there's learning from noisy labels. Lots of work on that as well.
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.
the-incredible-pytorch - The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
spotlight - Interactively explore unstructured datasets from your dataframe.
Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
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.
DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)
WhereIsAI - AI company, product, and tool collection.
techniques - Techniques for deep learning with satellite & aerial imagery
awesome-synthetic-data - đŸ“– A curated list of resources dedicated to synthetic data
Machine-Learning-Tutorials - machine learning and deep learning tutorials, articles and other resources
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Awesome-System-for-Machine-Learning - A curated list of research in machine learning systems (MLSys). Paper notes are also provided.