Ratnesh-181998/python-ai-ml-libraries

A comprehensive Python AI/ML repository covering end-to-end workflows using TensorFlow, PyTorch, Keras, and Transformers for deep learning; NumPy and Pandas for data processing; Scikit-Learn for classical ML; XGBoost and LightGBM for high-performance tabular models; and spaCy for NLP pipelines.

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Jupyter Notebook

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Apache-2.0

Category

ml-foundations-curricula

Last pushed

Mar 10, 2026

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Ml Foundations Curricula · 90 frameworks

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