LYuhang / Gnn_review
GNN综述阅读报告
Stars: ✭ 427
Labels
Projects that are alternatives of or similar to Gnn review
Random Forest Importances
Code to compute permutation and drop-column importances in Python scikit-learn models
Stars: ✭ 422 (-1.17%)
Mutual labels: jupyter-notebook
Deep Learning V2 Pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Stars: ✭ 4,457 (+943.79%)
Mutual labels: jupyter-notebook
Mli Resources
H2O.ai Machine Learning Interpretability Resources
Stars: ✭ 428 (+0.23%)
Mutual labels: jupyter-notebook
Vilbert Multi Task
Multi Task Vision and Language
Stars: ✭ 421 (-1.41%)
Mutual labels: jupyter-notebook
6s083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
Stars: ✭ 422 (-1.17%)
Mutual labels: jupyter-notebook
Sklearn Bayes
Python package for Bayesian Machine Learning with scikit-learn API
Stars: ✭ 428 (+0.23%)
Mutual labels: jupyter-notebook
Ssd Tensorflow
Single Shot MultiBox Detector in TensorFlow
Stars: ✭ 4,066 (+852.22%)
Mutual labels: jupyter-notebook
Probabilistic unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Stars: ✭ 427 (+0%)
Mutual labels: jupyter-notebook
Self Driving Car Nd
Udacity's Self-Driving Car Nanodegree project files and notes.
Stars: ✭ 424 (-0.7%)
Mutual labels: jupyter-notebook
Iclr2020 Openreviewdata
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Stars: ✭ 426 (-0.23%)
Mutual labels: jupyter-notebook
Steal
STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
Stars: ✭ 424 (-0.7%)
Mutual labels: jupyter-notebook
Deep Learning Resources
由淺入深的深度學習資源 Collection of deep learning materials for everyone
Stars: ✭ 422 (-1.17%)
Mutual labels: jupyter-notebook
Cortx
CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.
Stars: ✭ 426 (-0.23%)
Mutual labels: jupyter-notebook
Opensource Roadmap Datascience
¡Camino a una educación autodidacta en Ciencia de Datos!
Stars: ✭ 429 (+0.47%)
Mutual labels: jupyter-notebook
Jupyter pivottablejs
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Stars: ✭ 428 (+0.23%)
Mutual labels: jupyter-notebook
Mobilepose Pytorch
Light-weight Single Person Pose Estimator
Stars: ✭ 427 (+0%)
Mutual labels: jupyter-notebook
GNN_Review
GNN综述阅读报告，报告涵盖有多篇GNN方面的论文，以及一个按照论文《The Graph Neural Network Model 》使用pytorch编写的模型例子，该模型在人工数据上进行运行和验证。项目仓的结构树为
|-/GNN_Review.md # GNN综述Markdown文档
|-/GNN_Review1.1.pdf # GNN综述PDF版文档
|-/README.md # README文档
|-/GNN示例代码/ # 示例代码文档
|-images/ # 示例图像
|-GNN实例.ipynb # .ipynb文件(可直接使用jupyter运行)
|-node_dict.json # 中间的字典文件
|-/pic/ # GNN综述相关图片
|-/PyG和Pytorch实现GNN模型 # PyG和Pytorch的GNN模型实现文档和代码
|-cora/ # cora数据集
|-pic/ # 文档图片
|-data/ # 数据集文件夹
|-Cora数据集.md # Cora数据集介绍文档
|-GNN_Implement_with_Pytorch.ipynb # 使用Pytorch实现GCN和Linear GNN示例
|-GNN_Implemet_with_PyG.ipynb # 使用PyG实现GCN示例
|-GNN与子图匹配.ipynb # GNN的子图匹配示例
|-GNN的Batch示例.ipynb # GNN训练的Batch实现示例
|-PyG.md # PyG框架阅读报告
-
GNN_Review报告的结构如下
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].