该资源为官网下载来的完整初始版数据集，不是网上已经被个人更改过的数据集！ （由于超过1000M，分为三个部分来上传） CK+ 是表情识别领域最为常见的数据集之一！包括8种基本表情（包括中性的话）。 数据库包括123个subjects, 593 个 image sequence，每个image sequence的最后一张 Frame 都有action units 的label，而在这593个image sequence中，有327个sequence 有 emotion的 label。这个数据库是人脸表情识别中比较流行的一个数据库，很多文章都会用到这个数据做测试

2019年全国行政区划-最细一级数据，精确到村，社区，居委会，数据是从国家统计局官网爬取，共80多M，保证准确和完整。

说明：https://www.qumuban.com/12427.html 2021交易所多语言区块链 完整数据 币币交易 秒合约交易 杠杆交易 虚拟币行情交易的源码下载

SIMCON的A7600C1模块完整数据手册

地理信息系统导论-陈建飞-使用所需的完整数据，美国美)Kang-tsung Chang ，科学出版社，陈建飞翻译，1-18章完整版

完整的MNIST CNN手写体识别数据集加代码，深度学习入门好资源！

智能微电网中对多目标问题的优化，采用粒子群的完美验证，有详细注释，可以借鉴

包含文件 imdb.npz imdb_word_index.json 互联网电影资料库（Internet Movie Database，简称IMDb）是一个关于电影演员、电影、电视节目、电视明星和电影制作的在线数据库。

著名的Netflix 智能推荐 百万美金大奖赛使用是数据集. 因为竞赛关闭, Netflix官网上已无法下载. Netflix provided a training data set of 100,480,507 ratings that 480,189 users gave to 17,770 movies. Each training rating is a quadruplet of the form . The user and movie fields are integer IDs, while grades are from 1 to 5 (integral) stars.[3] The qualifying data set contains over 2,817,131 triplets of the form , with grades known only to the jury. A participating team's algorithm must predict grades on the entire qualifying set, but they are only informed of the score for half of the data, the quiz set of 1,408,342 ratings. The other half is the test set of 1,408,789, and performance on this is used by the jury to determine potential prize winners. Only the judges know which ratings are in the quiz set, and which are in the test set—this arrangement is intended to make it difficult to hill climb on the test set. Submitted predictions are scored against the true grades in terms of root mean squared error (RMSE), and the goal is to reduce this error as much as possible. Note that while the actual grades are integers in the range 1 to 5, submitted predictions need not be. Netflix also identified a probe subset of 1,408,395 ratings within the training data set. The probe, quiz, and test data sets were chosen to have similar statistical properties. In summary, the data used in the Netflix Prize looks as follows: Training set (99,072,112 ratings not including the probe set, 100,480,507 including the probe set) Probe set (1,408,395 ratings) Qualifying set (2,817,131 ratings) consisting of: Test set (1,408,789 ratings), used to determine winners Quiz set (1,408,342 ratings), used to calculate leaderboard scores For each movie, title and year of release are provided in a separate dataset. No information at all is provided about users. In order to protect the privacy of customers, "some of the rating data for some customers in the training and qualifyin

欧洲智能技术网络(EUNITE)竞赛负荷预测样本数据，里面包含了1997年、1998年斯洛伐克东部电力公司某电厂的真实负荷数据，要求预测1999年1月份的负荷数据。另外，给出了1997、1998年每年的节假日数据和每天的天气数据。