Gallery

All the examples have a download link at the end. You can load the example’s notebook on Google Colab and run them by adding the line

pip install git+https://github.com/torchdr/torchdr.git#egg=torchdr

to the top of the notebook.

Affinities

Entropic Affinities can adapt to varying noise levels

Entropic Affinities can adapt to varying noise levels

sphx_glr_auto_examples_affinities_single_vs_multi_gpu_umap_affinity.py

Simple example of using UMAPAffinity with multi-GPU on 10x mouse Zheng dataset.

Basics

PCA via SVD and via AffinityMatcher

PCA via SVD and via AffinityMatcher

TSNE embedding of the swiss roll dataset

TSNE embedding of the swiss roll dataset

TSNE vs COSNE : Euclidean vs Hyperbolic

TSNE vs COSNE : Euclidean vs Hyperbolic

Incremental PCA on GPU

Incremental PCA on GPU

Neighbor Embedding on genomics & equivalent affinity matcher formulation

Neighbor Embedding on genomics & equivalent affinity matcher formulation