zmkwjx / GluonTS-Learning-in-Action
MXNET之GluonTS学习手册
☆25Updated 4 years ago
Alternatives and similar repositories for GluonTS-Learning-in-Action:
Users that are interested in GluonTS-Learning-in-Action are comparing it to the libraries listed below
- BaseWavenet/Wavenet+ResidualBlock☆16Updated 6 years ago
- ☆100Updated 6 years ago
- use deepar to predict water supply network pressure☆21Updated 4 years ago
- Tensorflow implementation of paper http://arxiv.org/abs/1809.02105☆66Updated 5 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆66Updated last week
- N-Beats library implementation☆87Updated 3 years ago
- My Data Competition Solutions☆101Updated last year
- Keras version of LSTNet☆97Updated 6 years ago
- 时间序列理论和 案例实践☆70Updated 7 years ago
- 天池“资金流入流出预测——挑战baseline”的解决方案,线上效果143.5☆98Updated 4 years ago
- 科技战疫-大数据公益挑战赛-DataFountain重点区域人群密度预测 第1名方案☆38Updated 3 years ago
- 当样本分布发生变化时,交叉验证无法准确评估模型在测试集上的效 果,这时候需要其他构造验证集的方法来应对。☆49Updated 5 years ago
- AutoML☆38Updated 6 years ago
- 2019科大讯飞工程机械赛题-亚军☆38Updated 5 years ago
- 2020 第四届工业大数据创新竞赛-水电站入库流量预测-top1代码☆30Updated 4 years ago
- KDD CUP 2021 Multi-dataset Time Series Anomaly Detection☆29Updated 3 years ago
- A collection of data competition solutions | 数据竞赛方案合集☆50Updated this week
- 时间序列异常检测☆51Updated 2 years ago
- 本赛题要求选手基于历史光伏发电数据、天气数据、光伏设备空间相对位置等信息,通过建立适当的模型,对未来一段时间内的光伏发电出力进行预测。A榜使用外部数据得分0.88501103804 排名32,未使用外部数据得分0.88042407737 ;B榜得分0.90467829011…☆28Updated 10 months ago
- 2020数字中国创新大赛-数字政府赛道-智能算法赛:智慧海洋建设算法赛道代码☆38Updated 4 years ago
- TensorFlow Probability;Time series model☆125Updated 2 years ago
- A simple implementation of Transformer Encoder in keras. This repository also includes an example of Transformer as a classifier and its …☆16Updated 5 years ago
- ☆18Updated 5 years ago
- 2019ccf乘用车销量预测Top1%代码☆13Updated 5 years ago
- 使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置☆94Updated 6 years ago
- ☆45Updated 4 years ago
- IJCAI-17 top1 solution☆65Updated 6 years ago
- Github开源项目hyperopt系列的中文文档,以及学习教程等☆163Updated 4 years ago
- ☆66Updated 5 years ago
- 天池全球城市计算AI挑战赛:A榜单模型12.28, B榜单模型12.53,多模型融合11.74(Top 3), C榜官方结果17.08(新人赛验证C榜可通过乘个衰减提升很多到12.00,A榜也有效果到11.88)☆40Updated 5 years ago