StarSpace Alternatives

Similar projects and alternatives to StarSpace

CLIP

103 22,209 1.2 Jupyter Notebook StarSpace VS CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
pykeen

1 1,529 7.3 Python StarSpace VS pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings
InfluxDB

www.influxdata.com featured

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better StarSpace alternative or higher similarity.

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StarSpace reviews and mentions

Posts with mentions or reviews of StarSpace. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-25.

Quaternion Knowledge Graph Embeddings
2 projects | news.ycombinator.com | 25 Apr 2024

This completely misunderstands what this is.
In this context "knowledge graph" means a representation of knowledge independent of it's serialization format (ie, RDF vs whatever).
It's usable wherever you have a key value (key:value of relationship) or a triple (key:relationship:something).
This is probably 85% of everything that is stored in a database, with the exception being paths that vary enough that you can't use the path as a key or relationship. In particular, most trees are suitable if you use collapse the path down to a single relationship.
I've done a bunch of work on graph embedding. They are very effective for use in anything that can be thought of as a recommendation system ("this person would like these books") or similarity ("this person is similar to these people").
Back when I was working on them I found Starspace wonderfully easy and effective: https://github.com/facebookresearch/StarSpace
StarSpace: General neural model for efficient learning of entity embeddings
1 project | /r/CKsTechNews | 31 Mar 2022

1 project | news.ycombinator.com | 31 Mar 2022
[D] CLIP vs Starspace
2 projects | /r/MachineLearning | 2 Dec 2021
Creating custom entity embeddings using multiple sources of information [D]
1 project | /r/MachineLearning | 30 Sep 2021

In general, treating entity embedding as a standard NLP problem, and relying on their decades old techniques to create embeddings / reductions, is fairly easy, pareto-efficient for first deploy, and can use a lot of the existing infra and software. In essence, this approach is not so far away from the more advanced https://github.com/facebookresearch/StarSpace
A note from our sponsor - SaaSHub
www.saashub.com | 4 May 2024

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