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facebookresearch/StarSpace

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Learning embeddings for classification, retrieval and ranking.

12 mentions on Hacker News by 9 people: 4 stories, 8 comments · first 2017-09-14 · latest 2024-04-25

Mentions per year 12 mentions · busiest year 2017 (6)
20082026
  1. …these people"). Back when I was working on them I found Starspace wonderfully easy and effective: https://github.com/facebookresearch/StarSpace
  2. ▲ 2
    StarSpace: General neural model for efficient learning of entity embeddings
    story by denimboy · 2022-03-31 · 1 comment
  3. I like https://github.com/facebookresearch/Starspace#graphspace-lin... for fast and easy graph embedding generation via a GNN.
  4. …pytorch-biggraph[3] (released 2 days ago) scales to trillions of edges and billions of nodes. [1] https://github.com/facebookresearch/StarSpace [2] https://arxiv.org/abs/1803.09473 [3] https://ai.facebook.com/blog/open-sourcing-pytorch-bigg…
  5. …you do a graph representation on one side, and a phrase/sentence representation on the other. [1] https://github.com/facebookresearch/Starspace
  6. …confused it with StarSpace [0], also by Facebook Research, which was indeed published in 2017? [0] https://github.com/facebookresearch/StarSpace
  7. https://github.com/facebookresearch/StarSpace/issues/38
  8. …entity embeddings, of which word embeddings are just one type. It's a whole family of algorithms. https://github.com/facebookresearch/Starspace/
  9. …which also shows how this simple "entity embeddings" approach can be used for different tasks. [1] https://github.com/facebookresearch/StarSpace
  10. ▲ 1
    StarSpace: a general-purpose neural model for learning of entity embeddings
    story by amorroxic · 2017-10-17 · 0 comments
  11. ▲ 3
    Starspace: Facebook's General Purpose Neural Embedding System
    story by antimatter15 · 2017-09-15 · 0 comments
  12. ▲ 1
    Starspace - Learning embeddings for classification, retrieval and ranking
    story by aSig · 2017-09-14 · 0 comments