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 ...

You can use it with your favorite tensor processing libraries, such as PyTorch, JAX, and TensorFlow, and a large set of related libraries, including Numpy, Pillow, torchvision, and more.

Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two ...

NVIDIA integrates Universal Sparse Tensor into nvmath-python v0.9.0, boosting sparse deep learning and scientific computing with zero-cost PyTorch interoperability. Why it matters: Sparse data is a ...

Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...

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.