Datasets: density estimation using deep generative neural network

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.

Related Organizations

Stanford University
United States
Tsinghua University
China (People's Republic of)

Keywords

HEPMASS, Science Policy, Information Systems not elsewhere classified, YPMSD, Roundtrip model, Plant Biology, CIFAR, Roundtrip paper, MNIST, Inorganic Chemistry, network Datasets, data, density estimation, CASP, Multi sensors, UCI, Genetics, dataset, ODDS, Source code, Biotechnology, Biological Sciences not elsewhere classified

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