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Awesome GitHub RepositoriesForward-Mode Differentiation
Computation of directional derivatives by propagating tangents through a function.
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Awesome Forward-Mode Differentiation GitHub Repositories
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- pytorch/pytorch
pytorch/pytorch
100,814Ver en GitHubPyTorch is a machine learning framework centered on a GPU-ready tensor library that supports multi-dimensional array operations across both CPU and accelerator hardware. It provides a foundational infrastructure for mathematical computation and dynamic neural network construction, utilizing a tape-based automatic differentiation system that allows for flexible, non-static graph execution. The framework is designed for deep integration with Python, enabling natural usage alongside standard scientific computing ecosystems. It distinguishes itself through a comprehensive distributed training sui
Computes directional derivatives by propagating tangents through functions via a dedicated forward-mode differentiation API.
Pythonautograddeep-learninggpu
