Pinned Repositories
ADL
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. Proceedings of the 2019 SIAM International Conference on Data Mining.
Affective_Brain_Variables
Extracted EEG features
AIR
BENDR
EEG_Emotion_Feature_Engineering
KDD19-IADM
Code of KDD'19 paper Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
LatentFactorDecodingEEG
Multichannel_Biosignal_Emotion_Recognition
Emotion recognition from multi-channel biosignal by using convolutional and recurrent neural network
SI-CLEER
The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based Emotion Recognition'
muzixiang's Repositories
muzixiang/EEG_Emotion_Feature_Engineering
muzixiang/Multichannel_Biosignal_Emotion_Recognition
Emotion recognition from multi-channel biosignal by using convolutional and recurrent neural network
muzixiang/LatentFactorDecodingEEG
muzixiang/SI-CLEER
The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based Emotion Recognition'
muzixiang/KDD19-IADM
Code of KDD'19 paper Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability
muzixiang/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
muzixiang/ADL
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. Proceedings of the 2019 SIAM International Conference on Data Mining.
muzixiang/Affective_Brain_Variables
Extracted EEG features
muzixiang/AIR
muzixiang/BENDR
muzixiang/DEVDAN
An automated construction of a denoising autoeconder is presented here. It features an open structure both in the generative phase and in the discriminative phase where input features can be automatically added and discarded on the fly and free of the problem- specific threshold.
muzixiang/mHTM
math hierarchical temporal memory
muzixiang/NAB
The Numenta Anomaly Benchmark
muzixiang/NADINE-IJCNN2021
muzixiang/ODL
muzixiang/OnlineDeepLearning
Implementation of Online Hedge Backpropagation
muzixiang/onn
Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
muzixiang/pyHTM
Hierarchical Temporal Memory in Python
muzixiang/RTML
Keras-based wrapper classes for DNNs geared toward making real-time prediction on non-linear time series data
muzixiang/Sparse_coding
UFLDL
muzixiang/xiang_li-github.com
muzixiang/xiangli.github.io
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