Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

TurboQuant PyTorch — Implementation + Deep Tutorial A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value ...

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.

# JIT-compiling PyTorch code into optimized kernels, # while requiring minimal code changes. # ``torch.compile`` accomplishes this by tracing through # your Python code, looking for PyTorch operations ...