Representation learning on large graphs using stochastic graph convolutions.

Use SAGE or other GNN model to predict CO emission level.

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Multiscale Geographically Weighted Regression (MGWR)

MGWR 2.0 Software

Context-Attention Geographically Weighted Regression

A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR) and its extensions

This repository contains parallel python package for the SGWR model along with its serial version, and also the GUI for the model.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A model combining Deep Neural Networks and (Stochastic) Random Forests.

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

Prediction of highway passenger transportation volume based on Deep Learning and TensorFlow

Code repository for TensorFlow Machine Learning Cookbook by Packt

Code for the paper "Forecasting Airport Passenger Flows Using Real-Time Data and Machine Learning"

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flo…