Diana21170648's starred repositories
awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
awesome-test-automation
A curated list of awesome test automation frameworks, tools, libraries, and software for different programming languages. Sponsored by https://zapple.tech and https://automated-testing.info
GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
tennessee-eastman-profBraatz
The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).
Deep-Graph-Learning
A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.
GNNTutorial
A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks
gnn_transformers_notebooks
Notebooks for the ENCCS Graph Neural Networks and Transformers workshop
BG-CNN-for-DC-Motor-FDI
BG-CNN: A Hybrid Fault Diagnosis Method for Improved Fault Isolation. This repository presents the BG-CNN method, a novel approach that combines the Bond-Graph technique with Convolutional Neural Networks (CNNs) for efficient fault isolation.
Learning-Graph-Neural-Networks
Some Notebooks To Start Learning GNN
time-varying-graphical-lasso-impl
Implementation of time-varying graphical lasso from research paper (2019)
graph-neural-network
The repository is a collection of Jupyter notebooks showcasing various projects related to graph neural networks (GNNs). Each notebook provides a detailed explanation of the project and its implementation, making it easy for users to understand and replicate the results.
DataBaseTennessee
A database for tennessee plant.
GraphicalLasso-GaussianMixture
Lasso + Gaussian Mixture Models With this kernel I want to demonstrate how to use Gaussian mixture Models (GMM) which have the nice property to train unsupervised, so you can also use the test set. I use Graphical Lasso as an estimator for the initial value of precision matrix (= inverse Covariance) and mean
GCN_Notebooks
This repo contains notebooks pertaining to Graph Convolutional Neural Networks and their application on brain imaging data to predict stages of Alzheimer's disease. This research was conducted in Brookhaven National Laboratory's HSRP program. All datasets have been removed.
GraphicaLasso-inference
Inference for high-dimensional graphical models using graphical Lasso and neighbourhood selection.
Probabilistic-Graphical-Lasso
Graphical Model: Probabilistic Graphical Lasso.
Graphical-Lasso-to-Identify-Trading-Pairs-in-International-Stock-ETFs
Graphical Lasso to Identify Trading Pairs in International Stock ETFs
Graph-Neural-Network
In this notebook we are going to show how you can convert tabular data into graph and use it to do your task using graph neural network.
gravie-developer-test
Gravie Software Development Engineer Test
Matlab_EvidenceTheory
3(DS, Yager, sunquan) + 4(Generic framework, Average_Murphy, modifiedAverage_Deng, pignistic)
pytorch-notebooks
In this repository I'm implementing PyTorch based Deep Neural Networks from basic ANN to Advanced Graph Neural Networks. Please suggest if you have any ideas