Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Web Traffic Forecasting | 552 | 6 years ago | 12 | Python | ||||||
Kaggle | Web Traffic Forecasting 📈 | ||||||||||
Deep Time Series Prediction | 287 | 2 years ago | 7 | Python | ||||||
Seq2Seq, Bert, Transformer, WaveNet for time series prediction. | ||||||||||
Kaggle Competition Favorita | 138 | 6 years ago | 5 | mit | Python | |||||
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting | ||||||||||
Walmart_competition_code | 92 | 6 years ago | mit | R | ||||||
This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle. | ||||||||||
Kaggle_walmart Recruiting Store Sales Forecasting | 41 | 10 years ago | R | |||||||
R code for Kaggle's Walmart Recruiting - Store Sales Forecasting | ||||||||||
Kaggle Web Traffic Time Series Forecasting | 24 | 4 years ago | Jupyter Notebook | |||||||
Solution to Kaggle - Web Traffic Time Series Forecasting | ||||||||||
Storeitemdemand | 13 | 5 years ago | mit | Jupyter Notebook | ||||||
(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition. | ||||||||||
M5_compete | 11 | 3 years ago | 2 | mit | Jupyter Notebook | |||||
Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition / Kaggle M5沃尔玛销量时间序列预测竞赛 银牌方案(Top 2%) | ||||||||||
Kaggle_favorita Grocery Sales | 10 | 6 years ago | Python | |||||||
12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting | ||||||||||
Web Traffic Time Series Forecasting | 9 | 4 years ago | TSQL | |||||||
Code for the Kaggle competition "Web Traffic Time Series Forecasting" |