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Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
Implementation of convolution layer in different flavors
Winograd Convolution in Julia with CUDA kernels
Winograd Convolution Implementation using by cpp
A series of programs that enable one's investigations in the algebraic complexity theory such as matrix multiplication algorithms, primality tests, algebraic complexity, sorting algorithms etc. Each algorithm is accompanied by a comparative time complexity analysis and a class of test cases and test suites.
The fast transformation algorithm for transposed convolutional layers
winograd 1d convolution using by cuda