spkmc
importedsoftware/spkmc
High-performance epidemic simulation on complex networks using the Shortest Path Kinetic Monte Carlo algorithm
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/mcaxtr/spkmc
- Documentation
- unknown
- Tags
- computational-science · epidemiology · gpu · graph-theory · monte-carlo · networks · numba · python · simulation · sir-model
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- SIR_on_Gnutellaepidemiology · sir-model
Simulation of a SIR Epidemic process on the Gnutella p2p network on Python
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SpinWalk, a framework for Monte-Carlo simulation to model spins random walk within a network. SpinWalk paper:
- stkcomputational-science
A Python library which allows construction and manipulation of complex molecules, as well as automatic molecular design and the creation of molecular databases.
- comprisknumba
Scalable, scikit-learn-compatible competing-risks survival analysis in pure Python — CR random survival forest, Fine-Gray, cause-specific Cox, Aalen-Johansen CIF, Gray's test, and exact TreeSHAP.…
- decouplernumba
Python package to perform enrichment analysis from omics data.
- dicomPreProcessnumba
This project aims to develop a medical image processing library using a service-oriented architecture.
- api.github.com/repos/mcaxtr/spkmcretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-03-25, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/39.json→ .entries["spkmc"]
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