CIlib-tutorial
data-centric-ai
CIlib-tutorial | data-centric-ai | |
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- | 1 | |
5 | 1,070 | |
- | 1.4% | |
0.0 | 0.0 | |
almost 5 years ago | 5 months ago | |
TeX | TeX | |
- | Apache License 2.0 |
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CIlib-tutorial
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data-centric-ai
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[P] Rubrix: Open-source Python framework for NLP data annotation, exploration, and monitoring
In line with initiatives like Data-centric AI (https://https-deeplearning-ai.github.io/data-centric-comp/, https://github.com/HazyResearch/data-centric-ai), we firmly believe that iterating on datasets (finding label errors, dataset slicing, QA, etc.) will become more and more important, and tools for making this easier and involving different roles are needed.
What are some alternatives?
CIlib - Typesafe, purely functional Computational Intelligence
argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]
prometheus-spec - Cryptoeconomically-safe trustless high-load computing on top of Bitcoin
data-centric-AI - A curated, but incomplete, list of data-centric AI resources.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
DikeDataset - Dataset with labeled benign and malicious files 🗃️
autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python