KnowProblem

BCDU-Net

BCDU-Net : Medical Image Segmentation

Datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

falsefriends

gpu_parallelization

Co-occurrence matrices act as the input to many unsupervised learning algorithms, including those that learn word embedding, and modern spectral topic models. However, the computation of these inputs often takes longer time than the inference. While much thought has been given to implementing fast learning algorithms. The co-occurrence matrix computation tasks are well suited to GPU parallelization. GPUs or other specialized hardware, have never been used to explicitly compute word-to-word co-occurrence matrix.

Lanes-Detection-with-OpenCV

Advanced Lane Detection

SonyCamera

KnowProblem/BCDU-Net

BCDU-Net : Medical Image Segmentation

KnowProblem/Datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

KnowProblem/falsefriends

KnowProblem/gpu_parallelization

Co-occurrence matrices act as the input to many unsupervised learning algorithms, including those that learn word embedding, and modern spectral topic models. However, the computation of these inputs often takes longer time than the inference. While much thought has been given to implementing fast learning algorithms. The co-occurrence matrix computation tasks are well suited to GPU parallelization. GPUs or other specialized hardware, have never been used to explicitly compute word-to-word co-occurrence matrix.

KnowProblem/Lanes-Detection-with-OpenCV

Advanced Lane Detection

KnowProblem/SonyCamera