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visulization

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RMD_digging is aimed to provide pre-processing and post-processing tools for the reactive molecular dynamics (ReaxFF) simulations based on MATLAB language, including formatting the reactive force field parameters, statistic anasysis of structures, trajectories and mechanisms and output of the visualization files.

  • Updated Apr 27, 2024
  • MATLAB

This library is designed to generate visualizations of neural networks by analyzing PyTorch code. Unlike conventional methods, our approach eliminates the need for large parameter files (pth) or specific input formats. With minimal AI knowledge, users can leverage this tool to create visualizations that aid in understanding complex networks.

  • Updated Dec 10, 2023
  • Python

This dataset from "ShufersalML" captures customer order history, aiming to predict future purchases using Python. It involves interconnected files that detail customer orders over time. The goal is to build a predictive model leveraging past order patterns to anticipate which products a user is likely to include in their next order.

  • Updated Nov 19, 2023
  • HTML

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