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GitHub dataset
"相关结果 130条The Blackbird Dataset was created by MIT AERA and has been published in the International Journal of Robotics Research (IJRR link) and in the proceedings of ISER 2018 (arXiv link). NOTE: Currently, some pre-rendered sequences are unavailable for download. We are working to rectify this as soon as possible.
github.comHotels Arabic-Reviews Dataset. This dataset contains 93700 hotel reviews in Arabic language. The hotel reviews were collected from Booking.com website during June/July 2016. The reviews are expressed in Modern Standard Arabic as well as dialectal Arabic.The following table summarize some tatistics on the HARD Dataset.
github.comA simple synthetic dataset and baseline model for visual counting. A simple synthetic dataset and baseline model for visual counting. The task is to count the number of even digits given a 100x100 image, each with up to 5 randomly chosen MNIST digits. We use rejection sampling to ensure digits are separated by at least 28 pixels. Reproduced with details from Learning to count with deep object features.
github.comDataset for the Zenva tutorial. In this tutorial, you'll learn how to develop a project that integrates Machine Learning algorithms for predictions and Augmented Reality for data visualization. For this project will use Unity 3D and Vuforia, we'll build from the ground the Machine Learning algorithms in order to give you a better understanding of how ML works.
github.comother one :https://www.kaggle.com/ivanfel/honey-bee-pollenhttps://github.com/piperod/PollenDataset. https://www.kaggle.com/jenny18/honey-bee-annotated-images#bee_data.csv. https://www.kaggle.com/jenny18/open-source-bee-hive-labeled-images.
github.comUna colección de DataSet sobre el clima de México. Un conjunto de datos en distintos formatos referente al clima de México.
github.comAutomatic Discovery of the Statistical Types of Variables in a Dataset. This code implements the Bayesian method and reproduces the experiment in. Please, use the above details to cite this work. Alternatively, the fucntion simComp(datasetC,Nits,KK,itt) runs baseline in the paper above, which assumes all the continuous variables to be Gaussian and all the dicrete variables to be categorical.
github.com