yufann

Java-Interview

「Java面试小抄」一份通向理想互联网公司的面试汇总，包括 Java基础、Java并发、JVM、MySQL、Redis、Spring、MyBatis、Kafka、计算机操作系统、计算机网络、系统设计、分布式、Java 项目实战等

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

Aiolimp-Library

前端知识笔记包括面试题整理

FE-interview

收集的前端面试题和答案

DSANet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

TrafficGAN

The codes of paper "TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks".

APPNP

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

STG2Seq

Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

awesome-knowledge-distillation

Awesome Knowledge Distillation

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

DeepST-ResNet

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction‘s code

Traffic-Benchmark

bigData

大数据比赛项目库

UCTB

An Open Source Spatio-Temporal Prediction Package

Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction

Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.00685

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

2019-ZJU_SummerResearch

The task is to restate a thesis and redo the experiment following the instructions in the paper.

A-Decomposition-Approach-for-Urban-Anomaly-Detection-Across-Spatiotemporal-Data

A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data

STDN

Code for our Spatiotemporal Dynamic Network

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

traffic_prediction

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

TrafficFlowPrediction

LCTFP: A freeway traffic flow prediction model based on CNN and LSTM

TrafficFlowPrediction

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

ATFM

Attentive Traffic Flow Machines

AT-Conv-LSTM

A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction

STResNet

A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081

TCN

Sequence modeling benchmarks and temporal convolutional networks

STGCN-PyTorch

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

Pytorch-RSM_GAN