Réglage fin, entraînement et données

pytorch

pytorch/pytorch

A deep learning framework with tensor computation, automatic differentiation and GPU acceleration.

★ 102,8KÉtoiles
⑂ 29,1KForks
17530Problèmes ouverts
PythonLangue
Licence
Q85Score éditorial

Vue d’ensemble

A deep learning framework with tensor computation, automatic differentiation and GPU acceleration. The repository is maintained under pytorch on GitHub. Its primary language is Python. See the [project README](https://github.com/pytorch/pytorch#readme) for the supported workflows.

Fonctionnalités clés

  • A deep learning framework with tensor computation, automatic differentiation and GPU acceleration.

Prérequis, installation et démarrage rapide

Follow the official installation guide for your Python environment and compute backend. Use an isolated environment and the dependency versions specified upstream.

[Read the upstream installation and quickstart instructions](https://github.com/pytorch/pytorch#readme).

Utilisation

Begin with an upstream example and a small dataset; validate the results before moving to larger training or evaluation workloads.

[Usage examples and configuration reference](https://github.com/pytorch/pytorch#readme).

Compatibilité des modèles et cas d’usage

La compatibilité des modèles n’est pas indiquée dans les métadonnées du dépôt.

Licence et notes sur les risques

GitHub has not identified a single standard SPDX license for this repository. Read the upstream license files before reuse or redistribution.

Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: NOASSERTION.

Publication et maintenance

[View upstream releases](https://github.com/pytorch/pytorch/releases).

Langfuse

langfuse/langfuse

★ 32,4KTypeScript

DeepSpeed

deepspeedai/deepspeed

★ 43KPython

aikit

kaito-project/aikit

★ 535Go

keras

keras-team/keras

★ 64,3KPython