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Repositório GitHub

dice-embeddings

dice-embeddings contém 6 skills coletadas de dice-group, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.

skills coletadas
6
Stars
67
atualizado
2026-07-10
Forks
18
Cobertura ocupacional
2 categorias ocupacionais · 100% classificado
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Skills neste repositório

add-model
Desenvolvedores de software

Add a new Knowledge Graph Embedding model to the dicee framework. Use when implementing a new KGE model, adding a custom scoring function, creating a new algebra-based embedding, or extending BaseKGE with a new architecture.

2026-07-10
add-model
Desenvolvedores de software

Add a new Knowledge Graph Embedding model to the dicee framework. Use when: implementing a new KGE model, adding a custom scoring function, creating a new algebra-based embedding, extending BaseKGE with a new architecture.

2026-07-10
link-prediction-api
Desenvolvedores de software

Use a pre-trained KGE model for inference via the KGE class. Use when loading a trained model, predicting missing links (head/relation/tail), answering multi-hop EPFO queries (1p 2p 3p 2i 3i ip pi 2u up), predicting literal values, accessing raw embeddings, or deploying with the Gradio UI.

2026-07-06
run-training
Desenvolvedores de software

Configure and launch KGE model training in dicee. Use when training a KGE model, choosing a trainer backend, selecting a scoring technique, setting up multi-GPU/DDP/FSDP training, using weight averaging (SWA/EMA/SWAG), configuring periodic evaluation, or resuming training with continual learning.

2026-07-06
run-training
Cientistas de dados

Configure and launch KGE model training in dicee. Use when: training a KGE model, choosing a trainer backend, selecting a scoring technique, setting up multi-GPU or DDP training, using weight averaging (SWA/EMA/SWAG), configuring periodic evaluation, resuming training with continual learning.

2026-05-27
link-prediction-api
Desenvolvedores de software

Use a pre-trained KGE model for inference via the KGE class. Use when: loading a trained model, predicting missing links (head/relation/tail), answering multi-hop EPFO queries (1p 2p 3p 2i 3i ip pi 2u up), predicting literal values, accessing raw embeddings, deploying with the Gradio UI.

2026-04-28