英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：


请选择你想看的字典辞典：
单词字典翻译
honur查看　honur　在百度字典中的解释百度英翻中〔查看〕
honur查看　honur　在Google字典中的解释Google英翻中〔查看〕
honur查看　honur　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • cgcnn README. md at master · txie-93 cgcnn - GitHub
    Crystal graph convolutional neural networks for predicting material properties - txie-93 cgcnn
  • soumyasanyal mt-cgcnn - GitHub
    The package provides code to train a MT-CGCNN model with a customized dataset This is built on an existing model CGCNN which the authors suggest to checkout as well
  • kaist-amsg CGCNN-HD - GitHub
    The CGCNN-HD is a python code for dropout-based uncertainty quantification for stability prediction with CGCNN (by T Xie et al ) developed by prof Yousung Jung group at KAIST (contact: ysjn@kaist ac kr)
  • GitHub - polbeni cgcnn: Code for Crystal Graph Convolutional Neural . . .
    Create a CGCNN model (model architecture and machine learning parameters (learning rate, batch size, ) can be easily modified from the scripts) Perform hyperparameter testing, screening for different models and parameters such as the learnin rate or dropout
  • CGCNN_tutorial README. md at main · Diego-2504 CGCNN_tutorial - GitHub
    Crystal Graph Convolutional Neural Networks tutorial - CGCNN_tutorial README md at main · Diego-2504 CGCNN_tutorial
  • SeoinBack D-CGCNN - GitHub
    D-CGCNN is a CGCNN (xie et al) based python code with direction-based crystal graph representation D-CGCNN is intended to predict formation energies of relaxed structures using unrelaxed structures as inputs, where unrelaxed structures can be generated by a simple elemental substitution or generative models
  • GitHub - JFLigroup PH-CGCNN: Persistent Homology Crystal Graph . . .
    Persistent Homology Crystal Graph Convolutional Neural Network (PH-CGCNN) Installation This project requires the following dependencies, which you can find in the requirements txt file:
  • Diego-2504 CGCNN_tutorial - GitHub
    CGCNN tutorial In the following notebooks I describe the model from Crystal Graph Convolutional Neural Networks by Tian Xie who was advised by Prof Jeffrey Grossman If you want to run the jupyter notebooks you should install Anaconda and run the following command line to create the appropriate environment:





中文字典-英文字典  2005-2009