- 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 | 代码解析 微调代码解析 |
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting | 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 |
---|---|---|---|
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling | Github | CSDN | - |
Learning Rates as a Function of Batch Size | - |
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 | - |