An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Report upload: Once the destination is determined, the report is automatically uploaded to SharePoint via MS Graph API. By specifying the folder path in the API request, it’s also possible to create ...

Opinionated Python bindings for the tree-sitter-stack-graphs rust library. It exposes a minimal, opinionated API to leverage the stack-graphs library for reference resolution in source code. The rust ...

Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...

So, you want to learn Python online and you’re wondering where to start? Reddit can be a surprisingly good place to get ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's M4 Pro chip for almost a year, and in that time, I've come to find the ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...

Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...

The most powerful and modular visual AI engine and application. ComfyUI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart based interface. Available on ...