PyTorch is a widely used open-source machine learning framework developed by Meta AI. It provides a flexible and efficient platform for building, training, and deploying deep learning models. With its dynamic computation graph and intuitive interface, PyTorch simplifies research and production workflows in fields like computer vision, natural language processing, and reinforcement learning.

Features of PyTorch:

• Dynamic computation graph for flexible model building and debugging.
• Comprehensive support for GPU acceleration to enhance computational performance.
• Integrated autograd system for automatic differentiation and gradient computation.
• Rich ecosystem with libraries like TorchVision, TorchText, and TorchAudio for various applications.
• Seamless interoperability with Python and popular data science tools like NumPy and Pandas.
• Optimized for production deployment with TorchScript and support for ONNX export.
• Strong community support and extensive documentation for continuous learning and development.

Run these commands:
$ pip install torch
$ python -c "import torch; print(torch.__version__)"

Disclaimer: PyTorch is an open-source tool provided under the BSD license and maintained by the community. It is offered "as is," without any warranty, express or implied. Developers are responsible for ensuring the ethical and legal use of PyTorch in their projects.