JinleiZhangBJTU

ResNet-LSTM-GCN

Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit

Transportation_with_Machine_Learning

交通·未来系列线上公益学术活动PPT

Conv-GCN

Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

ASTGCN

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

GE-GAN

GE-GAN: A novel deep learning framework for road traffic state estimation

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

PVCGN

code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"

SuperMachineLearningNotes

Super-Machine-Learning-Revision-Notes

aaai_melding_code

Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"

aaai_predit_then_optimize

Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"

academic-kickstart

clusternet

Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"

CSTN

Taxi Origin-Destination Demand Prediction

e2e-model-learning

Task-based end-to-end model learning in stochastic optimization

gcn

Implementation of Graph Convolutional Networks in TensorFlow

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021 (Best paper award).

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

PredOptwithSoftConstraint

Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn

Graph Convolutional Networks in PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

qpth

A fast and differentiable QP solver for PyTorch.

Supplementary-Files

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow-handbook

简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0