analyticalrohit/pytorch_fundamentals
Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.
This project helps aspiring machine learning practitioners understand the foundational concepts of PyTorch. It provides an introduction to tensors – the basic building blocks in deep learning – covering how to create, manipulate, and perform mathematical operations on them. The content is designed for data scientists and AI enthusiasts who are starting their journey into deep learning frameworks.
793 stars.
Use this if you are a data scientist, AI enthusiast, or student looking to grasp the very basics of PyTorch for building deep learning models.
Not ideal if you are an experienced deep learning engineer seeking advanced topics or a non-technical user without a programming background.
Stars
793
Forks
111
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 06, 2026
Commits (30d)
0
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