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🎯 🌟[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结
Convolutional Transformer for time series
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固，暂停交互，请耐心等待】
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。
🌱🚀一个基于Spring Boot & MyBatis的种子项目，用于快速构建中小型API、RESTful API项目~
A curated list of awesome Machine Learning frameworks, libraries and software.
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
Deep Learning Book Chinese Translation
955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)