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PyTorch

Publisher of Captum and Bayesian Optimization Library (botorch)

  • 11 produits actifs

Portefeuille de produits consolidé

  • Ao

    PyTorch native quantization for training and inference

    Model DeploymentOpen Source
  • Audio

    Data manipulation and transformation for audio signal processing, powered by PyTorch

    Machine Learning Model TrainingOpen Source
  • Bayesian Optimization Library (botorch)

    BoTorch is a library for Bayesian optimization built on PyTorch.

    Devcy HypertuneCommercial
  • Captum

    Captum is a library for model interpretability in PyTorch.

    Ai EvaluationCommercial
  • ExecuTorch

    On-device AI across mobile, embedded and edge for PyTorch

    Machine Learning Model TrainingOpen Source
  • Ignite

    High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

    Machine Learning Model TrainingOpen Source
  • PyTorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Machine Learning Model TrainingOpen Source
  • TensorRT

    PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

    Machine Learning Model TrainingOpen Source
  • Test Infra

    This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic to track disabled tests and slow tests, as well as our continuation integration jobs HUD/dashboard.

    Bi DashboardsOpen Source
  • Vision

    Datasets, Transforms and Models specific to Computer Vision

    Machine Learning Model TrainingOpen Source
  • XLA

    Enabling PyTorch on XLA Devices (e.g. Google TPU)

    Machine Learning Model TrainingOpen Source

Profil de l'entreprise et stratégie

PyTorch publie 2 produits sur pytorch.org, y compris Captum et la Bibliothèque d'Optimisation Bayésienne (botorch). Captum : Captum est une bibliothèque pour l'interprétabilité des modèles dans PyTorch.

Empreinte open source

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