Accenture / AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Why this job: matched by what the repo talks about: knowledge, graph, library, learn
What it does
- Intuitive APIs. AmpliGraph APIs are designed to reduce the code amount required to learn models that predict links in knowledge graphs. The new version AmpliGraph 2 APIs are in Keras style, making the user experience even smoother.
- GPU-Ready. AmpliGraph 2 is based on TensorFlow 2, and it is designed to run seamlessly on CPU and GPU devices - to speed-up training.
- Extensible. Roll your own knowledge graph embeddings model by extending AmpliGraph base estimators.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 2,244
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 2.2.0
- Released 4 months ago
- Built with
- Python
- 68% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 88% closed
- 28 still open
- Pull requests
- 50 merged
- 3 waiting
- Releases
- 15
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 68%
- Jupyter Notebook 32%
Topics
- machine-learning
- knowledge-graph
- relational-learning
- representation-learning
- graph-representation-learning
- graph-embeddings
- knowledge-graph-embeddings
Project record
- JobRAG and search
- StatusListed
- Commits1,664
- Forks256
- Watching62
- Stars in 28 days+2
- CreatedJan 9, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026