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Adaptive neuro fuzzy inference system from scratch. All codes inside, no dependency
BD-ELM: A Regularized Extreme Learning Machine Using Biased DropConnect and Biased Dropout
Curvature-based Feature Selection method
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 Extreme Learning Machines
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.
DTW算法的MATLAB实现
[Electronics Letters, 2012]Efficient Multivariate Feature Filter using Conditional Mutual Information
Matlab implementation of Extreme Learning Machine and variants
A simple implementation of the Fuzzy C-Means Clustering (FCM) in MATLAB/GNU-Octave.
Here are some variants of FCM clustering methods in matlab codes.
Correlation-based feature selection
feature selections and extractions
Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.
Implementation of AAAI 2016 paper Efficient Learning of Timeseries Shapelets
Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy clustering algorithms
MATLAB Demonstration for various hypergraph Laplacians
This Repository contains IELM algorithm
Optimizing Extreme Learning Machines with Kernel Functions
李宏毅2021春季机器学习课程课件及作业
利用各种算法优化BP
:monocle_face: Matlab Samples :alien: keep updating
Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering
Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.
Robust regularized Extreme Learning Machine (ELM) for regression using Iteratively Reweighted Least Squares (IRLS).
This is the matlab code of sequential ELM.
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.