FighterLYL / Graphneuralnetwork
《深入浅出图神经网络：GNN原理解析》配套代码
Stars: ✭ 754
Labels
Projects that are alternatives of or similar to Graphneuralnetwork
Adjusttext
A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
Stars: ✭ 731 (-3.05%)
Mutual labels: jupyter-notebook
Mememoji
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
Stars: ✭ 743 (-1.46%)
Mutual labels: jupyter-notebook
Finetune alexnet with tensorflow
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
Stars: ✭ 748 (-0.8%)
Mutual labels: jupyter-notebook
Pandas exercises
Practice your pandas skills!
Stars: ✭ 7,140 (+846.95%)
Mutual labels: jupyter-notebook
Getting Things Done With Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (-2.12%)
Mutual labels: jupyter-notebook
Dat4
General Assembly's Data Science course in Washington, DC
Stars: ✭ 748 (-0.8%)
Mutual labels: jupyter-notebook
Juliatutorials
Learn Julia via interactive tutorials!
Stars: ✭ 732 (-2.92%)
Mutual labels: jupyter-notebook
Simclr
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Stars: ✭ 750 (-0.53%)
Mutual labels: jupyter-notebook
Neural Processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Stars: ✭ 744 (-1.33%)
Mutual labels: jupyter-notebook
Causal inference python code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Stars: ✭ 748 (-0.8%)
Mutual labels: jupyter-notebook
Nbstripout
strip output from Jupyter and IPython notebooks
Stars: ✭ 738 (-2.12%)
Mutual labels: jupyter-notebook
Gans In Action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (-0.8%)
Mutual labels: jupyter-notebook
Hitchhikers Guide
The Hitchhiker's Guide to Data Science for Social Good
Stars: ✭ 732 (-2.92%)
Mutual labels: jupyter-notebook
Spark Movie Lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
Stars: ✭ 745 (-1.19%)
Mutual labels: jupyter-notebook
Machine learning refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Stars: ✭ 750 (-0.53%)
Mutual labels: jupyter-notebook
Deeprl Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Stars: ✭ 748 (-0.8%)
Mutual labels: jupyter-notebook
GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
关于勘误
由于作者水平有限，时间仓促，书中难免会有一些错误或不准确的地方，给读者朋友造成了困扰，表示抱歉。 仓库中提供了目前已经发现的一些问题的勘误,在此向指正这些错误的读者朋友表示感谢。
- 在5.4节图滤波器的介绍中，存在一些描述错误和概念模糊的问题，可能给读者理解造成偏差，勘误中对相关问题进行了更正
环境依赖
python>=3.6
jupyter
scipy
numpy
matplotlib
torch>=1.2.0
Getting Start
- [x] Chapter5: 基于GCN的节点分类
- [x] Chapter7: GraphSage示例
- [x] Chapter8: 图分类示例
- [x] Chapter9: 图自编码器
FAQ
- Cora数据集无法下载
Cora数据集地址是：kimiyoung/planetoid。
仓库中提供了一份使用到的cora数据，可以分别将它放在
新代码直接使用本地数据.chapter5/cora/raw 或者 chapter7/cora/raw 目录下。
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].