Image-processing software for cryo-electron microscopy
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Updated
Nov 29, 2024 - C++
Image-processing software for cryo-electron microscopy
Efficient Algorithms for L0 Regularized Learning
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.)
LASSO Regularization in C++
Structure learning for Bayesian networks using the CCDr algorithm.
Implementation of DropBlock: A regularization method for convolutional networks in Caffe.
Mini-project codes: Java, C++, Matlab, OpenMP, MPI, OpenCL, p_thread and Assembly Language.
Optimize your models with lasso, scad, mcp, and other penalty functions
Higher-order non-submodular pseudo-boolean optimization
Scientific tool for estimation problems.
Louvain's community detection algorithm for big graphs
C++ library for Sorted L-One Penalized Estimation (SLOPE)
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