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dair-ai/ML-Notebooks

A collection of minimal, reusable Jupyter notebooks covering ML concepts including computational graphs and neural networks built with PyTorch.

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This repository contains machine learning notebooks for different tasks and applications, designed to be minimal, reusable, and extendable. It supports Google Colab integration and includes tutorials on topics such as computational graphs and building simple neural networks with PyTorch. The notebooks are intended for educational and research purposes, with a ready-to-use development container configuration via GitHub Codespaces.

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