PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.

A replacement for NumPy to use the power of GPUs. A deep learning research platform that provides maximum flexibility and speed. If you use NumPy, then you have used Tensors (a.k.a. ndarray). PyTorch ...

Pytorch is primarily used through its python interface although most of the underlying high-performance code is written in C++. A C++ interface for Pytorch is also available that exposes the code ...

PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly helpful for the training and inference of deep learning tasks, like computer ...

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming ...

Overview:  PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...

As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related ...

A nightly build version of a machine-learning framework dependency has been compromised. The package ran malicious code on affected systems and stole data from unsuspecting users. Image: ...

An unknown attacker slipped a malicious binary into the PyTorch machine learning project by registering a malicious project with the Python Package Index (PyPI), infecting users' machines if they ...