dgl-ke VS zsl-kg

Compare dgl-ke vs zsl-kg and see what are their differences.

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings. (by awslabs)
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dgl-ke zsl-kg
1 1
1,235 107
1.6% 0.0%
0.8 1.5
6 months ago about 1 year ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dgl-ke

Posts with mentions or reviews of dgl-ke. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-12.

zsl-kg

Posts with mentions or reviews of zsl-kg. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing dgl-ke and zsl-kg you can also consider the following projects:

OpenKE - An Open-Source Package for Knowledge Embedding (KE)

contextualise - Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

pytextrank - Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

pyRDF2Vec - 🐍 Python Implementation and Extension of RDF2Vec

Text-to-Image-Synthesis - Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

PyTorch-BigGraph - Generate embeddings from large-scale graph-structured data.

zshot - Zero and Few shot named entity & relationships recognition

zeroshot_topics - Topic Inference with Zeroshot models