[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering with PyTorch and Matlab equivalent code.
Sample Images from PyTorch code
In this repo, I am using PyTorch in order to implement various methods for dimensionality reduction and spectral clustering.
At the moment, I have added Diffusion Maps [1] and I am working on the methods presented in the following list (as well as some other that I will add in the future).
Except from some examples based on 2-D Gaussian distributed clusters I will also add examples with face, food, imagenet categories etc.
In order to run these examples you need to have Pytorch installed in your system. I worked with Anaconda2 and Pytorch:
pytorch 0.2.0 py27hc03bea1_4cu80 [cuda80] soumith
conda list | grep pytorch
Feel free to contact me for suggestions, comments etc.