Datasets: density estimation using deep generative neural network
收藏Zenodo2021-03-19 更新2026-05-25 收录
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https://zenodo.org/record/4559067
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资源简介：
Datasets used in Roundtrip paper. Source code can be found at https://github.com/kimmo1019/Roundtrip UCI datasets: AReM/data.npy: Activity Recognition data collected from Multi sensors. Data size (42239, 6) CASP/data.npy: Protein Tertiary Structure data. Data size (45730, 9) BANK/data.npy: Financial data collected from clients. Data size (45211, 17) YPMSD/data.npy: Audio data of various songs. Data size (515345,90) HEPMASS/train.csv and HEPMASS/test.csv: Data of high-energy particles. ODDS contains three outlier detection datasets Shuttle, Mammography and ForestCover. mnist.tar.gz: MNIST datasets cifar10.tar.gz: CIFAR-10 datasets Pretrained models:uncompress pre_trained_models.tar.gz under the Roundtrip model.
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Zenodo创建时间：
2021-02-25
