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dl4traffic

This is the repository for the collection of Deep Learning for Traffic Prediction Problems.

dl_book

legend

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

fe4ml-zh

:book: [译] 面向机器学习的特征工程

fforma

Python package for Feature-based Forecast Model Averaging (FFORMA).

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

forecasthybrid

Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package

forecasting

Time Series Forecasting Best Practices & Examples

forecasting-1

Models, Outlier Treatment, Interpolation and Statistical Tests for Forecasting

fost

FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_predict-pytorch

Traffic flow predict. Implementation of graph convolutional network with PyTorch

gluon-ts

Probabilistic time series modeling in Python

gnn-algorithms

图神经网络相关算法详述及实现

gnn4traffic

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

gnnpapers

Must-read papers on graph neural networks (GNN)

gnn_note

图神经网络整理

gnn_review

GNN综述阅读报告

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-based-nn

Graph Convolutional Networks (GCNs)

graph-learn

An Industrial Graph Neural Network Framework

graph-neural-network-review

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

graph_neural_network_learning

图神经网络(图卷积网络) 个人学习总结

graph_sampling

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

hands-on-time-series-analylsis-python

Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

hsuantienlin_machinelearning

hypergbm

A full pipeline AutoML tool for tabular data