2 repositorios
Awesome GitHub RepositoriesTensor Packing
Combining multiple tensors of different shapes into a single array while recording original shapes.
Distinct from Tensor Transformations: Distinct from general transformations: specifically covers the process of packing multiple distinct tensors into one contiguous array.
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Awesome Tensor Packing GitHub Repositories
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- arogozhnikov/einops
arogozhnikov/einops
9,398Ver en GitHubEinops is a tensor manipulation library that provides a framework-agnostic interface for reshaping, Einstein summation, and multi-dimensional array operations. It serves as an abstraction layer that works across NumPy, PyTorch, TensorFlow, and JAX, allowing for tensor transformations without changing the API. The library distinguishes itself through a declarative notation system that uses readable string patterns to describe tensor rearrangements and reductions. This approach includes an extended Einstein summation interface that supports multi-letter axis names and a named dimension mapping
Combines tensors of varying shapes into a single array and tracks their shapes for later restoration.
Pythoncupydeep-learningeinops - torch/torch7
torch/torch7
9,127Ver en GitHubTorch7 is a scientific computing environment and tensor computation library used for deep learning research and numerical analysis. It functions as a Lua-based framework for training neural networks and learning agents, providing a toolkit for implementing architectures and training through reinforcement learning algorithms. The project is distinguished by its tight integration with C, utilizing a binding layer to map high-level scripting to low-level C structures for direct memory access. It supports hardware-accelerated computation by offloading linear algebra and convolution operations to
Extracts all sliding slices of a given size and step from a tensor dimension.
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