Alternatives and similar repositories for sbm_canonical_mcmc

Users that are interested in sbm_canonical_mcmc are comparing it to the libraries listed below

• jg-you / noisy-networks-measurements
  Noisy network measurement with stan
  ☆56Updated 4 years ago
• jg-you / plant-pollinator-inference
  Code for "Reconstruction of plant--pollinator networks from observational data"
  ☆20Updated 3 years ago
• gcant / temporal-recovery-tree-py
  Recover temporal information from grown trees, using Python
  ☆11Updated 4 years ago
• joelnish / double-edge-swap-mcmc
  Contains methods to uniformly sample graphs with a given degree sequence.
  ☆19Updated 6 years ago
• gstonge / SamplableSet
  An efficient implementation of a set which can be randomly sampled according to the weights of the elements.
  ☆23Updated last year
• junipertcy / Network-Code-Repository
  A centralized repository for network analysis tools.
  ☆11Updated 5 years ago
• junipertcy / bipartiteSBM
  A Bayesian model+algorithm for community detection in bipartite networks
  ☆58Updated 4 years ago
• mcontisc / CRep
  Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.
  ☆16Updated last year
• Hoosier-Clusters / clusim
  An extended package for clustering similarity
  ☆67Updated 6 months ago
• KatolaZ / mammult
  Metrics And Models for MULTilayer networks
  ☆24Updated 9 years ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• cclaualc / nullnest
  Constructing a null model and measuring the nestedness of bipartite networks
  ☆12Updated 4 years ago
• benmaier / tacoma
  Temporal networks in Python. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gilles…
  ☆105Updated 5 years ago
• netsiphd / netrd
  A library for network {reconstruction, distances, dynamics}
  ☆170Updated 2 years ago
• alexbovet / flow_stability
  Flow stability framework for dynamic community detection in temporal networks
  ☆29Updated 2 weeks ago
• pierrejacob / winference
  R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
  ☆26Updated 5 years ago
• janovergoor / choose2grow
  Research code for "Choosing to grow a graph" project. Contains code for network generation and model estimation.
  ☆26Updated 4 years ago
• skojaku / km_config
  An algorithm for finding multiple core-periphery pairs in networks.
  ☆12Updated 3 years ago
• ScanLab-ossi / DynamicRandomGraphs
  ☆9Updated 2 years ago
• ryanjgallagher / core_periphery_sbm
  Bayesian network models for inferring core-periphery structure
  ☆36Updated 3 years ago
• alpatania / sassafras
  S.A.S.S.A.F.R.A.S. : a simple automatic scholar sorter appropriate for researchers and scientists
  ☆19Updated 3 years ago
• polcolomer / RandNetGen
  Random network generator
  ☆18Updated 8 years ago
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆35Updated 3 years ago
• lordgrilo / ComplexNetworks2021-tda-crash-courses
  ☆18Updated 3 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 9 months ago
• JonasWallin / BayesFlow
  ☆19Updated 9 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆28Updated 6 years ago
• cdebacco / SpringRank
  Calculates SpringRank from directed networks or pairwise comparisons
  ☆55Updated last month
• p-wolfe / network-histogram-code
  Code to implement the network histogram (Olhede and Wolfe, arXiv:1312.5306)
  ☆11Updated 10 years ago
• adbroido / SFAnalysis
  ☆46Updated 5 years ago