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Search results for c plus plus regularization
c-plus-plus
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regularization
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27 search results found
Bigartm
⭐
537
Fast topic modeling platform
Qmf
⭐
461
A fast and scalable C++ library for implicit-feedback matrix factorization models
Relion
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400
Image-processing software for cryo-electron microscopy
Gimli
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324
Geophysical Inversion and Modeling Library 🌍
Caffe
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323
Caffe for Sparse and Low-rank Deep Neural Networks
Curvaturefilter
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261
Curvature Filters are efficient solvers for Variational Models
Libmf
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181
L0learn
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84
Efficient Algorithms for L0 Regularized Learning
Jensen
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39
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
Jensen
⭐
30
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
Point Cloud Regularization
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24
A structured optimization framework for spatially regularizing point clouds classification
Pestpp
⭐
23
PEST++ inverse model project
Depthinpainting
⭐
21
Depth Image Inpainting with Low Gradient Regularization
Zerosum
⭐
19
R-package for elastic net regularized regression with zero sum constraint
Mixup
⭐
16
Crfsegmenter
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15
A multi-language segmenter using high-order CRF.
Bayesreg
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14
R package to perform Bayesian regularization using Stan.
Classifier
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14
Online Classification Library
Arowpp
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11
AROW++ An implementation of the efficient confidence-weighted classifier
Sse
⭐
9
Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
Sglfast
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7
R package for the sparse-group lasso problem with regularization parameter selection (iSGL)
Improved_glmnet
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7
Crfpp Extensions
⭐
6
CRF++-0.58 extended with a few stochastic gradient based optimization routines
C Attl3
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6
A C++ deep learning library for the construction and optimization of neural networks ranging from simple feedforward architectures to state-of-the-art convolutional ResNets and LSTMs.
Dropblock_mxnet_bottom_implemention
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6
用C++实现一个mxnet版本dropblock Op 最后可以用mx.sym.Dropblock()调用
Ccdralgorithm
⭐
5
Structure learning for Bayesian networks using the CCDr algorithm.
Marvin
⭐
5
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