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Python - 100天从新手到大师
Everything you need to know to get the job.
Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
猫抓 浏览器资源嗅探扩展 / cat-catch Browser Resource Sniffing Extension
Must-read papers on graph neural networks (GNN)
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
A resource for learning about Machine learning & Deep Learning
Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Aria2 配置文件 | OneDrive & Google Drvive 离线下载 | 百度网盘转存
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
List of papers, code and experiments using deep learning for time series forecasting
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.