dgl-ke
typedb-ml
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| dgl-ke | typedb-ml | |
|---|---|---|
| 1 | 1 | |
| 1,235 | 548 | |
| 1.6% | - | |
| 0.8 | 0.0 | |
| 6 months ago | 5 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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dgl-ke
typedb-ml
-
Graph theory, graph convolutional networks, knowledge graphs
It's always funny to see people mentioning hypergraphs in relation to knowledge graphs, this is exactly what we do at Grakn Labs (disclaimer: work there) https://grakn.ai
For others: we're also starting to look into ML on knowledge graphs, check out our initial work at https://github.com/graknlabs/kglib :D
What are some alternatives?
OpenKE - An Open-Source Package for Knowledge Embedding (KE)
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
zsl-kg - Framework for zero-shot learning with knowledge graphs.
0xDeCA10B - Sharing Updatable Models (SUM) on Blockchain
pyRDF2Vec - 🐍 Python Implementation and Extension of RDF2Vec
TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?
PyTorch-BigGraph - Generate embeddings from large-scale graph-structured data.
GPT2-api - 🤖 (Easily) run your own GPT-2 API. Post writing prompts, get AI-generated responses
zeroshot_topics - Topic Inference with Zeroshot models
ANN-decompiler - "AI" demystified: a decompiler
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs