The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
$ git clone https://github.com/PAIR-code/lit.git๐ค Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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๐ซ Industrial-strength Natural Language Processing (NLP) in Python
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Data from GitHub ยท snapshot Sep 24, 2026