pyRDF2Vec
dgl-ke
| pyRDF2Vec | dgl-ke | |
|---|---|---|
| 1 | 1 | |
| 240 | 1,235 | |
| 0.8% | 0.8% | |
| 2.9 | 0.8 | |
| 10 days ago | 6 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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
-
[P] pyRDF2Vec 0.2.0 is out!
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:
dgl-ke
What are some alternatives?
text-summarizer - Python Framework for Extractive Text Summarization
OpenKE - An Open-Source Package for Knowledge Embedding (KE)
gensim - Topic Modelling for Humans
typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB
scattertext - Beautiful visualizations of how language differs among document types.
zsl-kg - Framework for zero-shot learning with knowledge graphs.
jRDF2Vec - A high-performance Java Implementation of RDF2Vec
PyTorch-BigGraph - Generate embeddings from large-scale graph-structured data.
hub - A library for transfer learning by reusing parts of TensorFlow models.
zeroshot_topics - Topic Inference with Zeroshot models
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. 📚🧠🚀
magnitude - A fast, efficient universal vector embedding utility package.