# analyticalrohit/pytorch\_fundamentals

<https://repo.masters-masters.com/repos/analyticalrohit/pytorch_fundamentals>

[Accueil](https://repo.masters-masters.com/) › [analyticalrohit](https://repo.masters-masters.com/owners/analyticalrohit) › [pytorch\_fundamentals](https://repo.masters-masters.com/repos/analyticalrohit/pytorch_fundamentals)

analyticalrohit/pytorch\_fundamentals, dépôt open source à 1 056 étoiles sur GitHub. Carte Bêta de RepoMasters. Introduction to PyTorch, covering tensor…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [analyticalrohit](https://repo.masters-masters.com/owners/analyticalrohit) |
| Étoiles | 1 056 |
| Forks | 150 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2025 |
| Sujets | broadcasting, deep-learning, indexing, matrix-multiplication, numpy, operations, pytorch, reshaping, tensor, machine-learning |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [analyticalrohit/pytorch\_fundamentals](https://github.com/analyticalrohit/pytorch_fundamentals) |

## Fiche du dépôt

Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.