Lecture notes from the Computational Intelligence Lab (CIL) at ETH Zurich
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Updated
Aug 3, 2014
Lecture notes from the Computational Intelligence Lab (CIL) at ETH Zurich
An app to present dimensionality reduction on images. Documented on GitHub Pages. (http://hammad7.github.io)
The repository has the codes to identify co-linear (linearly dependent columns in a data) using linear algebra techniques.
Example implementation of Isomap algorithm in R
Projects for the Computational Geometry and Machine Learning course developed in Python
Multi dimensionnal scaling based on the work of FLORIAN WICKELMAIER
A data-mining/dimensionality reduction technique known as Sammon Mapping, implemented in C with the GNU Scientific Library.
Comparison of principal components analysis with diffusion maps on toy data sets and a molecular simulation trajectory
A tool that performs 3D embedding of data and provides interactive visualization.
Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree
Web based semantic visualization tool
Online feature-extraction and classification algorithm that learns representations of input patterns.
Predicting the winners of Miss Finland 2016 with penalized logistic regression, using image data.
Dimensionality reduction model based on PCA.
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
Artificial Intelligence assignments, for the course Artificial Intelligence : Knowledge Representation
The project visualizes the high dimensional bioacoustic data in 2D scatter plot using the tSNE technique.
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