Highlights
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torchimage
torchimage PublicPyTorch utilities for classic image processing and evaluation
Python 14
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multi-source-convolution
multi-source-convolution PublicA PyTorch 2d convolution block that simultaneously takes image, vector, and scalar data.
Python 1
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pytorch-confusion-matrix
pytorch-confusion-matrix PublicDifferentiable precision, recall, F-beta score, F1 score, and dice loss for input tensors of real-valued probabilities
Python 1
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annotated-sfm
annotated-sfm PublicReducing Causality to Functions with Structural Models (Philosophy)
Python 2
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RunningNorm
RunningNorm PublicPyTorch implementation of Scikit-Learn StandardScaler. Easily inserted as the first neural network layer; compatible with minibatch training
Python
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baseliner
baseliner PublicTrain, test, and compare any machine learning models on any datasets in one click
Python
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