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Awesome GitHub RepositoriesData Preprocessing Pipelines
Utilities for tokenizing, cleaning, and formatting raw datasets for machine learning model training.
Distinguishing note: Specifically tailored for preparing text and dialogue data for LLM training, distinct from general data ETL.
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Awesome Data Preprocessing Pipelines GitHub Repositories
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- jingyaogong/minimind
jingyaogong/minimind
39,663View on GitHubThis project is a comprehensive framework for the entire lifecycle of transformer-based language models, supporting everything from foundational pretraining to specialized deployment. It provides a modular toolkit for defining neural network architectures, managing data preparation pipelines, and executing training routines across various scales. The framework is designed to handle the full model development process, including supervised fine-tuning, behavioral alignment, and the integration of agentic capabilities. What distinguishes this framework is its focus on efficient training and adva
A set of utilities for tokenizing, formatting, and structuring raw text and dialogue datasets for efficient model training.
Pythonartificial-intelligencelarge-language-model
