简介

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

长时间序列预测

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	-