Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://pytorch.org below:

PyTorch

Choose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud Platforms

We are excited to announce the release of PyTorch® 2.9 (release notes)! This release features:  Updates to the stable libtorch ABI for third-party C++/CUDA extensions Symmetric memory that enables easy…

PyTorch Conference: October 22–23, 2025, San Francisco, CA Open Source AI Week’s flagship event, PyTorch Conference 2025, brings together AI pioneers, researchers, developers, and startup founders for keynotes, technical talks, tutorials,…

We’re excited to welcome the first cohort of PyTorch Ambassadors ever! The new PyTorch Ambassador Program highlights and supports passionate community leaders who educate, advocate for, build with PyTorch Foundation…

As a member of the PyTorch Foundation, you’ll have access to resources that allow you to be stewards of stable, secure, and long-lasting codebases. You can collaborate on training, local and regional events, open-source developer tooling, academic research, and guides to help new users and contributors have a productive experience.

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe.

Scalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend.

A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.

PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling.

Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, builds that are generated nightly. Please ensure that you have met the prerequisites below (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies. You can also install previous versions of PyTorch. Note that LibTorch is only available for C++.

NOTE: Latest Stable PyTorch requires Python 3.9 or later. Latest Preview (Nightly) PyTorch  requires Python 3.10 or later.

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

Get up and running with PyTorch quickly through popular cloud platforms and machine learning services.

Explore a rich ecosystem of libraries, tools, and more to support development.

Captum (“comprehension” in Latin) is an open source, extensible library for model interpretability built on PyTorch.

PyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds.

skorch is a high-level library for PyTorch that provides full scikit-learn compatibility.

Reduce inference costs by 71% and scale out using PyTorch, TorchServe, and AWS Inferentia.

Pushing the state of the art in NLP and Multi-task learning.

Using PyTorch’s flexibility to efficiently research new algorithmic approaches.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.5