Implementation of convolution layer in different flavors
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Updated
Oct 8, 2017 - C
Implementation of convolution layer in different flavors
A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
Convolutions and more as einsum for PyTorch
Accelerating convolution using numba, cupy and xnor in python
Source code of "BP-Im2col: An implicit Im2col framework for efficient CNN backpropagation", accepted at ICCD 2022 and "CRSPU: Exploit Commonality of Regular Sparsity to Support Various Convolutions on Systolic Arrays", accepted at DATE 2023.
Fast bare-bones implementation of convolutional layers, residual blocks, Adam optimizer, backpropagation and custom accuracy and loss functions (F1 score per pixel and binary-crossentropy)
Implementation of the im2col function for 2D images (e.g. gray-scale).
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