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Cang-cang Zhang's Projects

deeplearning-500-questions icon deeplearning-500-questions

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15个章节,近20万字。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

movie_recommender icon movie_recommender

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

redis icon redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

seismic_sensory_data_analysis icon seismic_sensory_data_analysis

Seismic data reconstruction is an important research direction in the field of seismic signal analysis. The complete seismic data can be used to estimate interior images of the Earth, which can aid the exploration for resources and research in to the shallow structure of the crust for geological and environmental purposes. However, due to the severely corrupted seismic traces and seismic slices, harsh detection conditions, and even financial constraints, seismic data usually has lots of missing data entries and noise. Therefore, it is necessary to investigate the robust recovery of seismic data from incomplete and noisy data.

tensor_completion icon tensor_completion

Tubal_Alt_Min (tubal-alternating minimization) is a tensor completion algorithm, based on the low-tubal-rank tensor model. On both synthetic data and real-world video data, evaluation results show that compared with other completion algorithm, Tubal-Alt-Min improves the recovery error dramatically (by orders of magnitude).

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