libingixn Goto Github PK

adaptive-structural-fingerprint

bert-chinese-text-classification-pytorch

使用Bert，ERNIE，进行中文文本分类

bigscity-libcity

LibCity: An Open Library for Traffic Prediction

cityflow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

cst-ml

The codes and data of paper "cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction"

daily-interview

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

deep-eta-murat

Implementation of "Multi-task Representation Learning for Travel Time Estimation"

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dl-traff-graph

[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)

fc-gaga-copy

fraud-detection-gnn

fraud_detection_basedongnn

An implementation of R-GCN model detection on IEEE-Fraud Detection Dataset,

fudandaily

使用GitHub Actions实现平安复旦全自动打卡

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

heteta

HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival

hw4internlm

ignnk

knowledgeclassify

2021科大讯飞试题标签预测挑战赛亚军方案

leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

localegn

few-shot models for short-term traffic prediction

magnn

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

metast

MetaST for WWW 2019

ml-notes

notes about machine learning

pattern-recognition-and-deep-learning

A simple tutorial for pytorch in deeplearning.

seattle-loop-data

sigspatial-2021-giscup-4th-solution

Continuously updating.....

spagan

PyTorch Implement for Path Attention Graph Network

st

st-gfsl_1

st-metanet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"