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Author:
Adrien Carrel
License:
MIT
Summary:
CCSD (Combinatorial Complex Score-based Diffusion) is a sophisticated score-based diffusion model designed to generate Combinatorial Complexes using Stochastic Differential Equations. This cutting-edge approach enables the generation of complex objects with higher-order structures and relations, thereby enhancing our ability to learn underlying distributions and produce more realistic objects.
Latest version:
0.3.3
Required dependencies:
dill
|
easydict
|
freezegun
|
hypernetx
|
imageio
|
joblib
|
kaleido
|
matplotlib
|
molsets
|
networkx
|
numpy
|
pandas
|
plotly
|
pyemd
|
pytest
|
pytest-cov
|
pytz
|
pyyaml
|
rdkit
|
scikit-learn
|
scipy
|
toponetx
|
torch
|
tqdm
|
wandb
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