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1. dimensionality-reduction dimensionality-reduction Public

   [NeurIPS 2019] Approximation algorithm for dimensionality reduction. Embeds any given finite metric space into a given number of dimensions k, wile provably preserving average distortion up to a sm…

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2. metric-embedding-theory metric-embedding-theory Public

   My class notes from the course Metric Embedding Theory and Its Algorithmic Applications, given by me and Yair Bartal in Hebrew University in academic years 2017-2019.

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3. orafandina.github.io orafandina.github.io Public

   Fandina Homepage

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4. scaling-bourgain-embedding scaling-bourgain-embedding Public

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5. forked-pytorch_kmeans forked-pytorch_kmeans Public

   Forked from ilyaraz/pytorch_kmeans

   Implementation of the k-means algorithm in PyTorch that works for large datasets

   Python

6. forked-understanding-transfer-learning forked-understanding-transfer-learning Public

   Forked from google-research/understanding-transfer-learning

   Python