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shusentang/dive-into-dl-pytorch

★ 19,392Jupyter NotebookAudience · developerComplexity · 2/5DormantLicenseSetup · easy

TLDR

PyTorch version of the popular "Dive into Deep Learning" textbook, with interactive Jupyter notebooks covering computer vision and NLP.

Mindmap

mindmap
  root((repo))
    What it does
      PyTorch code examples
      Computer vision lessons
      NLP tutorials
    Format
      Jupyter Notebooks
      Interactive learning
      Theory plus code
    Use cases
      Learn deep learning
      Study PyTorch
      Chinese language resource
    Tech stack
      PyTorch
      Python
      Jupyter

Things people build with this

USE CASE 1

Learn deep learning fundamentals with runnable PyTorch code examples in interactive notebooks.

USE CASE 2

Study computer vision and NLP techniques with theory explained alongside working implementations.

USE CASE 3

Access a comprehensive Chinese-language deep learning resource with practical code you can modify and experiment with.

Tech stack

PyTorchPythonJupyter Notebook

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

This repository is a PyTorch adaptation of the well-known open-source deep learning textbook "Dive into Deep Learning." The original book used MXNet as its coding framework; this project rewrites all of the code examples in PyTorch, a more widely used deep learning library. Topics covered include computer vision and natural language processing, based on the textbook's curriculum. The content is presented as Jupyter Notebooks, interactive documents that mix explanations with runnable code. You would use this if you are learning deep learning and prefer PyTorch over MXNet, or if you want a Chinese-language resource with practical code examples alongside the theoretical concepts.

Copy-paste prompts

Prompt 1
Show me how to implement a convolutional neural network for image classification using the code from this PyTorch dive-into-dl repository.
Prompt 2
Walk me through the natural language processing examples in these Jupyter notebooks and explain how the PyTorch models work.
Prompt 3
I want to learn deep learning from scratch using PyTorch, which notebooks should I start with and what concepts do they cover?
Prompt 4
Help me adapt one of these notebook examples to solve my own computer vision problem using PyTorch.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.