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13 search results found

Keras Multi Head ⭐ 196

A wrapper layer for stacking layers horizontally

Incremental Svm Learning In Matlab ⭐ 50

This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kernel parameter perturbation presented in "SVM Incremental Learning, Adaptation, and Optimization" by Christopher Diehl and Gert Cauwenberghs.

Yolov3_lite ⭐ 32

yolov3 model compress and acceleration (quantization, sparse)， c++ version

Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:

Kernel_reg ⭐ 14

Pytorch implementation of regularization methods for deep networks obtained via kernel methods.

Nystromcore ⭐ 10

Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing Systems, December 2015.

A simple MATLAB regression toolbox

[PY]thon [R]ec[O]mmender [S]ystems library

Sk Regularization ⭐ 6

Code for "Learning a smooth kernel regularizer for convolutional neural networks" (Feinman & Lake, 2019)

Regularization_for_machine_learning ⭐ 6

Regularization for Machine Learning-RegML GUI

Machine Learning ⭐ 5

MachineLearning

Anomaly Detection ⭐ 5

Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.

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