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Awesome GitHub RepositoriesAutomatic Differentiation Systems
Mechanisms for computing gradients of mathematical functions, typically used in neural network training.
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Awesome Automatic Differentiation Systems GitHub Repositories
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- pytorch/pytorch
PyTorch 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 diffe
Pythonautograddeep-learninggpu
Explore sub-tags
- Autograd Graph Inspection ToolsUtilities for inspecting, visualizing, and hooking into automatic differentiation graphs.
- Autograd ProfilingTools for inspecting execution costs and debugging gradient computation.
- Forward-Mode DifferentiationComputation of directional derivatives by propagating tangents through a function.
- Functional AutogradAPIs for performing automatic differentiation on functional transformations and higher-order derivatives.