typedb-ml
dgl-ke
typedb-ml | dgl-ke | |
---|---|---|
1 | 1 | |
548 | 1,235 | |
- | 0.8% | |
0.0 | 0.8 | |
6 months ago | 6 months ago | |
Python | Python | |
Apache License 2.0 | 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.
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
dgl-ke
What are some alternatives?
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]
OpenKE - An Open-Source Package for Knowledge Embedding (KE)
0xDeCA10B - Sharing Updatable Models (SUM) on Blockchain
zsl-kg - Framework for zero-shot learning with knowledge graphs.
TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?
pyRDF2Vec - 🐍 Python Implementation and Extension of RDF2Vec
GPT2-api - 🤖 (Easily) run your own GPT-2 API. Post writing prompts, get AI-generated responses
PyTorch-BigGraph - Generate embeddings from large-scale graph-structured data.
ANN-decompiler - "AI" demystified: a decompiler
zeroshot_topics - Topic Inference with Zeroshot models
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs