Directories
¶
| Path | Synopsis |
|---|---|
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Package autodiff implements automatic differentiation using the decorator pattern.
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Package autodiff implements automatic differentiation using the decorator pattern. |
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ops
Package ops defines operation interfaces and implementations for automatic differentiation.
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Package ops defines operation interfaces and implementations for automatic differentiation. |
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Package backend provides backend implementations for tensor operations.
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Package backend provides backend implementations for tensor operations. |
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cpu
Package cpu implements the CPU backend with SIMD optimizations and BLAS integration.
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Package cpu implements the CPU backend with SIMD optimizations and BLAS integration. |
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webgpu
Package webgpu implements the WebGPU backend for GPU-accelerated tensor operations.
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Package webgpu implements the WebGPU backend for GPU-accelerated tensor operations. |
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Package nn provides neural network modules and layers for building deep learning models.
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Package nn provides neural network modules and layers for building deep learning models. |
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Package optim implements optimization algorithms for training neural networks.
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Package optim implements optimization algorithms for training neural networks. |
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Package tensor provides the core tensor types and operations for Born ML framework.
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Package tensor provides the core tensor types and operations for Born ML framework. |
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