Tzu-Hung Liang's repositories
BayesianMnist
A hello world Bayesian Neural Network project on MNIST
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Cpp-ADIP
Course of advanced digital image processing using C++
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deep-active-learning
Deep Active Learning
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freshness-decay
Code implementation of C.-J. Wang, C.-C. Wu, M.-S. Shih, T.-S. Liu, and Y.-C. Ouyang, “Utility of Derivative Analysis and LSTM for Prediction of Decay Trend of Pleurotus Eryngii in Hyperspectral Imagery,” in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Jul. 2021, pp. 4604–4607. doi: 10.1109/IGARSS47720.2021.9555137.
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ml_2022_spring
Prof Lee's ML course homeworks
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Obstacle-Course
Unity tutorial
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qdb99581
Config files for my GitHub profile.
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