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anfis-from-scratch

Adaptive neuro fuzzy inference system from scratch. All codes inside, no dependency

bd-elm

BD-ELM: A Regularized Extreme Learning Machine Using Biased DropConnect and Biased Dropout

cfs

Curvature-based Feature Selection method

csdn-code-link

由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接

deep_autoencoder_with_elm

Deep Autoencoder with Extreme Learning Machines

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dimensionality-reduction-with-cfs-and-pca

dtw

DTW算法的MATLAB实现

efs

[Electronics Letters, 2012]Efficient Multivariate Feature Filter using Conditional Mutual Information

elmtoolbox

Matlab implementation of Extreme Learning Machine and variants

fcm

A simple implementation of the Fuzzy C-Means Clustering (FCM) in MATLAB/GNU-Octave.

fcm_m

Here are some variants of FCM clustering methods in matlab codes.

feature-selection

Correlation-based feature selection

feature-selection-1

featureselectionsandextractions

feature selections and extractions

filter-feature-selection-toolbox

Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.

flag_shapelets

Implementation of AAAI 2016 paper Efficient Learning of Timeseries Shapelets

fuzzy_clustering_algorithms

Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy clustering algorithms

hypergraph-laplacian

MATLAB Demonstration for various hypergraph Laplacians

incremental-elm__ielm

This Repository contains IELM algorithm

kelm

Optimizing Extreme Learning Machines with Kernel Functions

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

libsvm

many-search-algorithm-optimize-bp-neural-network

利用各种算法优化BP

matlabsamples

:monocle_face: Matlab Samples :alien: keep updating

musla-code

Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering

perturbed-topological-signature

Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.

robust-elm-irls

Robust regularized Extreme Learning Machine (ELM) for regression using Iteratively Reweighted Least Squares (IRLS).

selm_matlab

This is the matlab code of sequential ELM.

shapedtw

A shape-embedded dynamic time warping (DTW) algorithm. To the best of our knowledge, shapeDTW beats all other DTW variants on UCR time series datasets.