AI product Open source
PyTorch is a Python machine-learning library for tensor computation and deep neural networks, with CPU and GPU execution. Its tensor library provides NumPy-like operations, while its tape-based autograd system uses reverse-mode automatic differentiation for differentiable tensor operations and dynamically defined networks. The project also includes neural-network, compilation, multiprocessing, and data-loading components, and supports extensions through Python packages such as NumPy, SciPy, and Cython.
4 uses taken from transcripts — each links to the moment in the video.
Provides the execution framework discussed in relation to kernel ordering, overlapping execution, and race conditions.
Provides the standard TopK baseline replaced by DeepSelect.
Example of a machine-learning library or AI package that uses Python underneath.
An open-source Python package for tensor computation and deep learning. It provides CPU- and GPU-based tensors, automatic differentiation, and neural-network tools for research and production.
4 in the library.