hangzhang10 Goto Github PK

renzhengfei

任正非**

research

novel deep learning research works with PaddlePaddle

rong360

用户贷款风险预测

r_packages

skat

:exclamation: This is a read-only mirror of the CRAN R package repository. SKAT — SNP-Set (Sequence) Kernel Association Test

sklearn-ml

各种机器学习方法在sklearn中的使用-菜菜的机器学习sklearn课堂

space-time-sequence

物联感知时空序列数据分析；SpatiotemporalSequence；

sqlflow

Brings SQL and AI together.

st-resnet-pytorch

Code snippets of ST-ResNet by PyTorch

statsmodels

Statsmodels: statistical modeling and econometrics in Python

steps

Seoncdary Trait (ST) Analysis in Extreme Phenotype Sequencing (EPS)

steps-1

Functions to conduct genetic association analyses of secondary traits in extreme phenotype sequencing

steps-simu

Examples to illustrate how to apply STEPS package

stfgnn

Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

tabular-benchmark

tangjianpku.github.io

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

team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

tf-gnn-samples

TensorFlow implementations of Graph Neural Networks

the-purchase-and-redemption-forecast-challenge-baseline

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

tianchi_aiearth

TianChi AIEarth Contest Solution

time-series-analysis-tutorial

时间序列分析教程

time-series-classification-and-clustering

Time series classification and clustering code written in Python.

time-series-forecasting-and-deep-learning

Resources about time series forecasting and deep learning.

time-series-library

A Library for Advanced Deep Time Series Models.

time-series-prediction

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats

time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

time-series-work-conference

timemachines

Continuously evaluated, functional, incremental, time-series forecasting