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sbm

Here are 18 public repositories matching this topic...

Arduino sketch, which helps detecting the connections of the I2C interface and prints info available from the SMB (SmartBatteryModule) laptop battery pack.

  • Updated Oct 11, 2025
  • C++

Linux sketch, which helps detecting the connections of the I2C interface and prints info available from the SMB (SmartBatteryModule) laptop battery pack.

  • Updated Nov 17, 2022
  • C++

A package to sample and estimate variants of the stochastic blockmodel from network data

  • Updated Jul 30, 2026
  • R

C++ implementation of a MCMC sampler for the (canonical) SBM

  • Updated Oct 21, 2019
  • C++

Small utility to calculate the robustness modularity, information modularity and modularity difference.

  • Updated Jul 31, 2024
  • Python

Space Breakdown Method (SBM) is a clustering algorithm developed for Spike Sorting handling overlapping and imbalanced data. Improved Space Breakdown Method (ISBM) is the updated and improved version of SBM. A new algorithm for the detection of brain oscillations packets has been developed based on SBM, called Time-Frequency Breakdown Method (TFBM)

  • Updated Jun 6, 2026
  • Python

Source code of AC-DC-SBM, from "Assortative-Constrained Stochastic Block Models" (Gribel, Vidal and Gendreau, 2020)

  • Updated May 3, 2021
  • Julia

a python implementation of the standard and super-efficiency SBM (Slack-Based Measure) models, with and without undesirable outputs

  • Updated Nov 23, 2025
  • Python

Source code of "Semi-Supervised Clustering with Inaccurate Pairwise Annotations" (Gribel, Gendreau and Vidal, 2021)

  • Updated May 8, 2021
  • Julia
  • Updated Dec 31, 2020
  • MATLAB

Catalog-independent Wflow SBM hydrological model for the Upper Niger Basin. Complete ETL pipeline from raw ERA5/SRTM to runnable Julia simulation. Includes documented error resolutions and reusable patterns for building Wflow-sbm model.

  • Updated Dec 28, 2025
  • Jupyter Notebook

Analysis of the global trade network for 2018, 2020, and 2022 using network theory, Exponential Random Graph Models (ERGM), and Stochastic Block Models. Non-structural, persistent, and statistically significant nodal determinants of international trade are identified, as well as a marked differentiation between countries.

  • Updated Nov 28, 2025
  • R

Config files for my GitHub profile.

  • Updated Jul 16, 2021

Simulation and inference for contextual and neural SBMs

  • Updated Nov 18, 2024
  • Julia

Реализация метода SBM(Стохастическая блочная модель) и SSBM(Синхронная стохастическая блочная модель)

  • Updated May 25, 2023
  • R

☀️ spring-boot learning

  • Updated Jun 21, 2022
  • Java

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