pyRDF2Vec VS magnitude

Compare pyRDF2Vec vs magnitude and see what are their differences.

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pyRDF2Vec magnitude
1 5
240 1,611
0.8% 0.1%
2.9 0.0
11 days ago 9 months ago
Python Python
MIT License MIT License
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.

pyRDF2Vec

Posts with mentions or reviews of pyRDF2Vec. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] pyRDF2Vec 0.2.0 is out!
    1 project | /r/MachineLearning | 22 Mar 2021
    This release is packed with many new features and optimizations under the hood. An entire overview of what's new can be found in our CHANGELOG (https://github.com/IBCNServices/pyRDF2Vec/releases/tag/0.2.0). An overview of some major updates:

magnitude

Posts with mentions or reviews of magnitude. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-23.

What are some alternatives?

When comparing pyRDF2Vec and magnitude you can also consider the following projects:

text-summarizer - Python Framework for Extractive Text Summarization

flashtext - Extract Keywords from sentence or Replace keywords in sentences.

gensim - Topic Modelling for Humans

faiss - A library for efficient similarity search and clustering of dense vectors.

scattertext - Beautiful visualizations of how language differs among document types.

pgvector - Open-source vector similarity search for Postgres

jRDF2Vec - A high-performance Java Implementation of RDF2Vec

finalfusion-rust - finalfusion embeddings in Rust

hub - A library for transfer learning by reusing parts of TensorFlow models.

Milvus - A cloud-native vector database, storage for next generation AI applications

YassQueenDB - Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows