Pinned Repositories
CyC2018
【转】技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计
EEG-Conformer
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
EEG-feature-selection-and-cognitive-load-classification-using-CNN-GMM-and-K-means-clustering
Kaggle_EDFMASD
An exploration of "Kaggle-EEG data for Mental Attention State Detection". Construct a pipeline to preprocess data. Use Wavelet Packet Decomposition to extract time-frequency features of EEG-data. Finally, use SVM, CNN and LSTM to do the classification.
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
test
vc-cloud
Config files for my GitHub profile.
Zhang
vc-cloud's Repositories
vc-cloud/EEG-Conformer
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
vc-cloud/CyC2018
【转】技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计
vc-cloud/EEG-feature-selection-and-cognitive-load-classification-using-CNN-GMM-and-K-means-clustering
vc-cloud/Kaggle_EDFMASD
An exploration of "Kaggle-EEG data for Mental Attention State Detection". Construct a pipeline to preprocess data. Use Wavelet Packet Decomposition to extract time-frequency features of EEG-data. Finally, use SVM, CNN and LSTM to do the classification.
vc-cloud/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
vc-cloud/test
vc-cloud/vc-cloud
Config files for my GitHub profile.
vc-cloud/Zhang