blockmodels: GNU R package to estimate in Stochastic and Latent Block Model, written in C++ and GNU R language. GNU R interface. blockmodels on the CRAN, Sources on git
clgm: python class to estimate in Mixed Membership Block Model, with various probability distribution, with or without covariates. Sources on git
yadaf: manipulation de distributions continues arbitraires (sommes, conditionnements, application de fonctions), Python et Cython, inteface en Python.
SparseBM: Inference with V-EM in LBM et SBM for large sparce graphs. Computation on GPU.
Professional unmaintained software
MixedQF: Variance component estimation using quadratic forms.
WMixnet, software to estimate in Stochastic Block Model with Variational EM algorithm for various probability distribution. Written in C++, CLI interface. ArXiv article, Sources on git
- In preparation, rv and hervé (respectively the backend and the frontend) of a routing engine to find cyclist friendly route using OpenStreetMap and SRTM data. Ressources provided by OpenStreetMap France and Fondation Free. Sources on backend version 1, and frontend on git Sources on backend version 2 Articles introducting the software, in French, first, second