In this tutorial, we build a fully offline Graphify workflow that turns a realistic multi-module Python application into a knowledge graph. We start by installing Graphify and supporting graph ...

conda create -n meta_fr python=3.8 r-base=4.2 -c conda-forge conda activate meta_fr pip install networkx==2.8.7 pip install ipykernel==5.3.4 pip install ipython==8.12.3 pip install ipython-genutils==0 ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

Elucidating the intricate neural mechanisms underlying brain functions requires integrative brain dynamics modeling. To facilitate this process, it is crucial to develop a general-purpose programming ...

PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax ...

If you are using (Ana-)conda (or mamba), you can also obtain Netgraph from conda-forge: Please raise an issue. Include any relevant code and data in a minimal, reproducible example. If applicable, ...

SCANPY is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential ...