Description:
Tensors and dynamic neural networks
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Type: Formula
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Latest Version: 2.9.1@0
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Tracked Since: Nov 12, 2025
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Links:
Homepage |
@PyTorch |
formulae.brew.sh
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Category: Ai ml
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Tags:
machine-learning
deep-learning
ai
neural-networks
data-science
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Install:
brew install pytorch
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About:
PyTorch is an open-source machine learning framework that accelerates the path from research prototyping to production deployment. It provides a flexible and intuitive interface for building deep learning models using Python, backed by a strong ecosystem of tools and libraries. Its primary value is enabling fast experimentation with dynamic computation graphs while maintaining performance and scalability.
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Key Features:
- Dynamic computation graphs (eager execution) for flexible debugging
- Python-first API with deep NumPy integration
- Distributed training capabilities for multi-GPU and multi-node setups
- Rich ecosystem including TorchVision, TorchText, and TorchServe
- Mobile deployment support for iOS and Android
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Use Cases:
- Computer vision tasks like image classification and object detection
- Natural language processing and large language model development
- Scientific computing and physics simulations
- Reinforcement learning research and deployment
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Alternatives:
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tensorflow
– TensorFlow offers more mature production deployment tools but uses static graphs by default, while PyTorch prioritizes research flexibility
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jax
– JAX provides functional programming paradigms and automatic differentiation, often faster for certain numerical computations
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