Spandan-Madan/DeepLearningProject
A comprehensive machine learning tutorial covering data pipelines, classical algorithms, and deep learning with PyTorch.
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This repository is a full-length machine learning tutorial built for Harvard University’s graduate course CS209/109. It walks learners through an entire ML pipeline including custom dataset creation, conventional algorithms, and deep learning. The tutorial was originally in Python/NumPy and has been rewritten in PyTorch by contributors. It targets students learning ML end-to-end rather than quick 30-minute introductions.
Frequently asked
- What is Spandan-Madan/DeepLearningProject?
- A comprehensive machine learning tutorial covering data pipelines, classical algorithms, and deep learning with PyTorch.
- Is DeepLearningProject open source?
- Yes — Spandan-Madan/DeepLearningProject is open source, released under the MIT license.
- What language is DeepLearningProject written in?
- Spandan-Madan/DeepLearningProject is primarily written in HTML.
- How popular is DeepLearningProject?
- Spandan-Madan/DeepLearningProject has 4.8k stars on GitHub.
- Where can I find DeepLearningProject?
- Spandan-Madan/DeepLearningProject is on GitHub at https://github.com/Spandan-Madan/DeepLearningProject.