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# Tiny🔥Torch
# Tiny🔥Torch
**Build your own ML framework. Start small. Go deep.**
A hands-on Machine Learning Systems course where students dont just learn ML — they build it. Tiny🔥Torch takes you from the fundamentals of tensors and layers to full MLOps systems, all using your own codebase.
[![Jupyter Book](https://img.shields.io/badge/docs-Jupyter_Book-orange.svg)](https://mlsysbook.github.io/TinyTorch/)
[![GitHub](https://img.shields.io/badge/github-mlsysbook/TinyTorch-blue.svg)](https://github.com/mlsysbook/TinyTorch)
![Work in Progress](https://img.shields.io/badge/status-work--in--progress-yellow)
![Educational Project](https://img.shields.io/badge/purpose-educational-informational)
[![GitHub](https://img.shields.io/badge/github-mlsysbook/TinyTorch-blue.svg)](https://github.com/MLSysBook/TinyTorch)
[![Python](https://img.shields.io/badge/python-3.8+-green.svg)](https://python.org)
[![Jupyter Book](https://img.shields.io/badge/docs-Jupyter_Book-orange.svg)](https://mlsysbook.github.io/TinyTorch/)
A hands-on [Machine Learning Systems](https://mlsysbook.ai) course companion where students dont just learn ML — they build it.
Tiny🔥Torch is the minimalist, code-first companion to any machine learning systems course. It embraces a “start small, go deep” philosophy—starting with tensors and layers, and guiding learners through each system component, all the way to a complete MLOps pipelines built from scratch in their own codebase—albeit within a deliberately small-scale educational framework.
📚 **[Read the Interactive Course →](https://mlsysbook.github.io/TinyTorch/)**