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Awesome GitHub RepositoriesFloat32 Operations
Performs element-wise arithmetic on 32-bit floating-point slices using SIMD instructions for parallel throughput.
Distinct from SIMD-Accelerated Arithmetic: Distinct from SIMD-Accelerated Arithmetic: focuses specifically on float32 precision operations rather than general SIMD arithmetic across all numeric types.
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Awesome Float32 Operations GitHub Repositories
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- gorgonia/gorgonia
gorgonia/gorgonia
5,919Vezi pe GitHubGorgonia 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
Provides SIMD-accelerated float32 vector math as a core performance feature for neural network computations.
Go
