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GitHub / jovitalukasik / SVGe
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jovitalukasik%2FSVGe
Stars: 14
Forks: 2
Open Issues: 0
License: apache-2.0
Language: Python
Repo Size: 10.9 MB
Dependencies:
34
Created: about 3 years ago
Updated: 6 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago
Topics: automl, graph-embeddings, graph-neural-networks, nas, neural-architecture-search, variational-autoencoder
Files
Dependencies
- ConfigSpace ==0.4.16
- autograd *
- gzip *
- matplotlib *
- networkx ==2.4
- numpy *
- pandas *
- pathvalidate *
- pybnn *
- scikit-image *
- scikit-learn *
- scipy *
- seaborn *
- statsmodels *
- tensorboard ==1.14.0
- tensorflow ==1.14.0
- tensorflow-estimator *
- tensorflow-gpu ==1.14.0
- torch ==1.5.0
- torch-cluster ==1.5.4
- torch-geometric ==1.4.3
- torch-scatter ==2.0.4
- torch-sparse ==0.6.3
- torch-spline-conv ==1.2.0
- torchvision ==0.6.0
- tqdm *