yu (oh-yu)

oh-yu

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domain-invariant-learning

Pytorch implementations of domain invariant representation learning algos in unsupervised domain adaptation problem. In the absence of a license, default copyright laws apply. Please note this ongoing project.

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vegetable-price-prediction

PyTorch implementation of unidirectional LSTM with Attention applying to the vegetables price prediction problem. In the absence of a license, default copyright laws apply.

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codats

Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)

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deep_occupancy_detection

Source code of "Occupancy Detection for General Households by Bidirectional LSTM with Attention"(IECON 2022). In the absence of a license, default copyright laws apply.

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en-pronunciation-checker

Web application of the pronunciation checker returns texts what you are saying in English and short reply, functions appropriately only on Google Chrome. Currently not working because of our using API service shutdown.

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mimic-iii-paper

Repository for the paper describing MIMIC-III

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ml-occupancy-detection

Source code of "Development of an Occupancy Detection Method Applying to Smart Meters for General Households"(IPSJ Journal). In the absence of a license, default copyright laws apply.

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PI

Π Model from “Temporal Ensembling for Semi-Supervised Learning” (ICLR 2017) with TensorFlow.

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vrada

Variational Adversarial Deep Domain Adaptation implementation (TensorFlow 1.x)

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PyTorch-Deep-CORAL

This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for Deep Domain Adaptation. Baochen Sun and Kate Saenko (ECCV 2016).

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pytorch_DAN

An implementation of Deep Adaptation Network with pytorch

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