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convolution2d
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Accelerating convolution using numba, cupy and xnor in python
cudaparallelizationnumbafast-convolutionspopcountbinary-convolutionsconvolution2dxnor-convolutionscupyvectorized-computationim2colbitpackingpython-cuda
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Feb 16, 2020 - Jupyter Notebook
This is a simple convolution implementation both for CPU_only and GPU_only (using CUDA)
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Jan 14, 2019 - Cuda
Advance Patch Matcher Implementation. Matching patches with high accuracy and short time conditions using simplified SIFT algorithm and RANSAC outlier filtering.
pythonalgorithmimage-processingconvolutionedge-detectionpatchsiftsift-algorithmransacgauss-blurconvolution2dnon-maximum-suppressionsift-descriptorssift-featuresransac-algorithmpsimlharris-corner-detectorpatch-matching
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Jan 25, 2023 - Python
Neural networks
artificial-neural-networksconvolutional-neural-networksmlpneuralnetworkconvolution2dsoftmaxarctanrelunumpy-neural-networkbatchnormalizationmaxpool2d
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May 26, 2022 - Python
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