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一些有关长时间序列预测、CV和机器学习的论文中译版
some-paper-cn's Introduction
- 本项目是译者在学习长时间序列预测、CV、NLP和机器学习过程中精读的一些论文,并对其进行了中文翻译。由于译者水平有限,且基本未使用机器翻译,可能有部分言语不通顺或本土化程度不足,也请大家在阅读过程中多提供宝贵意见。
- 在我的CSDN博客中,针对上述部分论文中的模型撰写了相关教程,除此还有一些其他相关经验和教程欢迎大家访问我的CSDN博客主页
论文/博客标题 |
项目页 |
CSDN博客 |
教程 |
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers |
Github |
CSDN |
代码解析 |
Are Transformers Effective for Time Series Forecasting? |
Github |
CSDN |
代码解析 |
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting |
Github |
CSDN |
使用示例 |
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping |
Github |
CSDN |
- |
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis |
Github |
CSDN |
代码解析 |
Chronos: Learning the Language of Time Series |
Github |
CSDN |
- |
论文/博客标题 |
项目页 |
CSDN博客 |
教程 |
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection |
Github |
CSDN |
- |
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design |
Github |
CSDN |
- |
VanillaNet: the Power of Minimalism in Deep Learning |
Github |
CSDN |
- |
论文/博客标题 |
项目页 |
CSDN博客 |
教程 |
Phinetuning 2.0 |
Github |
- |
使用示例 |
Finetuning LLMs with LoRA and QLoRA |
Github |
CSDN |
- |
论文/博客标题 |
项目页 |
CSDN博客 |
教程 |
OpenFE: Automated Feature Generation with Expert-level Performance |
Github |
CSDN |
使用示例 |
To SMOTE, or not to SMOTE? |
Github |
CSDN |
- |
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