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- PyTorch
PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem
- End-to-end Machine Learning Framework – PyTorch
PyTorch enables fast, flexible experimentation and efficient production through a user-friendly front-end, distributed training, and ecosystem of tools and libraries
- PyTorch 2. 7 Release
We are excited to announce the release of PyTorch® 2 7 (release notes)! This release features: support for the NVIDIA Blackwell GPU architecture and pre-built wheels for CUDA 12 8 across Linux x86 and arm64 architectures
- Get Started - PyTorch
PyTorch can be installed and used on various Windows distributions Depending on your system and compute requirements, your experience with PyTorch on Windows may vary in terms of processing time
- Learn the Basics — PyTorch Tutorials 2. 7. 0+cu126 documentation
Most machine learning workflows involve working with data, creating models, optimizing model parameters, and saving the trained models This tutorial introduces you to a complete ML workflow implemented in PyTorch, with links to learn more about each of these concepts
- PyTorch 2. 4 Release Blog – PyTorch
We are excited to announce the release of PyTorch® 2 4 (release note)! PyTorch 2 4 adds support for the latest version of Python (3 12) for torch compile AOTInductor freezing gives developers running AOTInductor more performance-based optimizations by allowing the serialization of MKLDNN weights
- PyTorch – PyTorch
PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment Built to offer maximum flexibility and speed, PyTorch supports dynamic computation graphs, enabling researchers and developers to iterate quickly and intuitively
- PyTorch 2. 5 Release Blog
We are excited to announce the release of PyTorch® 2 5 (release note)! This release features a new cuDNN backend for SDPA, enabling speedups by default for users of SDPA on H100s or newer GPUs
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