Ecosyste.ms: Packages
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pypi.org : ccsd
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.
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purl: pkg:pypi/ccsd
Keywords: ccsd, python, diffusion-models, combinatorial-complex, score-based-generative-models, score-based-generative-modelingtopological-deep-learning, higher-order-models, tdl, molecule, molecule-generation, machine-learning, deep-learning, graph-neural-networks, graph, topology, diffusion, artificial-intelligence, topological-neural-networks, topological-data-analysis, score-based-generative-modeling, topological-deep-learning
License: MIT
Latest release: 9 months ago
First release: 10 months ago
Downloads: 81 last month
Stars: 4 on GitHub
Forks: 1 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 21 days ago