dsgiitr/d2l-pytorch
A PyTorch implementation of the Dive Into Deep Learning textbook with Jupyter notebook examples covering deep learning fundamentals.
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This repository adapts the popular Dive Into Deep Learning book for PyTorch, converting MXNet code examples into PyTorch implementations. It provides Jupyter notebooks covering fundamentals like data manipulation, linear algebra, automatic differentiation, and progresses through deep learning topics including computer vision and NLP models. The content serves as both a learning resource and reference implementation for deep learning practitioners.
Frequently asked
- What is dsgiitr/d2l-pytorch?
- A PyTorch implementation of the Dive Into Deep Learning textbook with Jupyter notebook examples covering deep learning fundamentals.
- Is d2l-pytorch open source?
- Yes — dsgiitr/d2l-pytorch is open source, released under the Apache-2.0 license.
- What language is d2l-pytorch written in?
- dsgiitr/d2l-pytorch is primarily written in Jupyter Notebook.
- How popular is d2l-pytorch?
- dsgiitr/d2l-pytorch has 4.4k stars on GitHub.
- Where can I find d2l-pytorch?
- dsgiitr/d2l-pytorch is on GitHub at https://github.com/dsgiitr/d2l-pytorch.