# dsgiitr/d2l-pytorch

<https://repo.masters-masters.com/en/repos/dsgiitr/d2l-pytorch>

[Home](https://repo.masters-masters.com/en) › [dsgiitr](https://repo.masters-masters.com/en/owners/dsgiitr) › [d2l-pytorch](https://repo.masters-masters.com/en/repos/dsgiitr/d2l-pytorch)

dsgiitr/d2l-pytorch has 4,364 stars on GitHub. Its RepoMasters card: RC tier. This project reproduces the book Dive Into Deep Learning (https://d2l.ai/)…

| Field | Value |
| --- | --- |
| Owner | [dsgiitr](https://repo.masters-masters.com/en/owners/dsgiitr) |
| Stars | 4,364 |
| Forks | 1,230 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | deep-learning, d2l, data-science, pytorch-implmention, book, nlp, computer-vision, pytorch, mxnet, dive-into-deep-learning |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [dsgiitr/d2l-pytorch](https://github.com/dsgiitr/d2l-pytorch) |

## Repository

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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