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embeddings-visualization

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# Embeddings / Feature Vector visualization using t-SNE and PCA
This repository contains the code for visualizing embeddings / feature vectors using t-SNE and PCA.The example plots are shown for model trained on the MNIST dataset with 1000 noise images randomly injected into the test set. The training code is also available. I used PyTorch and Lightning in this for the DL component. However, the logic should be similar for any framework.

The sample plots of embeddings extracted from a trained model are shown below.

t-SNE plot 2D

![t-SNE plot 2D](https://raw.githubusercontent.com/msminhas93/embeddings-visualization/main/plots/TSNEtrained.png)

t-SNE plot 3D

![t-SNE plot 3D](https://raw.githubusercontent.com/msminhas93/embeddings-visualization/main/plots/TSNE3D.png)

PCA plot 2D

![PCA plot 2D](https://raw.githubusercontent.com/msminhas93/embeddings-visualization/main/plots/PCAtrained.png)

PCA plot 3D

![PCA plot 3D](https://raw.githubusercontent.com/msminhas93/embeddings-visualization/main/plots/PCA3D.png)

I've shown the projections of embeddings extracted from randomly initialized model as well.

t-SNE plot 2D

![t-SNE plot 2D](https://raw.githubusercontent.com/msminhas93/embeddings-visualization/main/plots/TSNErandom.png)

PCA plot 2D

![PCA plot 2D](https://raw.githubusercontent.com/msminhas93/embeddings-visualization/main/plots/PCArandom.png)

embeddings-visualization

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