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Awesome GitHub RepositoriesVirtual Machine Execution
Runs a pre-built computational graph on a dedicated virtual machine, feeding input values and computing every operation in the graph.
Distinct from Graph-Based Computational Execution: Distinct from Graph-Based Computational Execution: focuses on execution via a dedicated virtual machine runtime rather than general graph evaluation.
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Awesome Virtual Machine Execution GitHub Repositories
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- gorgonia/gorgonia
gorgonia/gorgonia
5,919在 GitHub 上查看Gorgonia is a Go library that provides an automatic differentiation engine and a computation graph framework for building and training neural networks. It functions as a CUDA-accelerated tensor library and a SIMD-optimized math library, enabling machine learning workflows entirely within the Go ecosystem. The library distinguishes itself through a dual-backend architecture that dispatches neural network operations to either a GPU or CPU depending on CUDA availability at runtime. It constructs differentiable directed acyclic graphs of tensor operations, supports reverse-mode automatic gradient
Runs a pre-built computational graph on a dedicated virtual machine, computing every operation in the graph.
Go
