vc-cloud

vc-cloud's Stars

• apachecn/Interview

  Interview = 简历指南 + 算法题 + 八股文 + 源码分析

  Language:Jupyter Notebook8.7k352282.2k

• Vay-keen/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！

  7.3k21091.9k

• CoderLeixiaoshuai/java-eight-part

  『Java八股文』Java面试套路，Java进阶学习，打破内卷拿大厂Offer，升职加薪！

  Language:Java5.8k498986

• sty945/bank_interview

  :bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

  5.2k3610627

• synebula/SoftwareEngineerExam

  软考资料, 收集于网络。目前包括：系统架构师、项目管理师、软件设计师备考资料

  1.1k261428

• SuperBruceJia/EEG-DL

  A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

  Language:Python9252125221

• eeyhsong/EEG-Conformer

  EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

  Language:Python40543956

• torcheeg/torcheeg

  TorchEEG is a library built on PyTorch for EEG signal analysis.

  Language:Python36766351

• zhongpeixiang/AI-NLP-Paper-Readings

  This is my reading list for my PhD in AI, NLP, Deep Learning and more.

  17313026

• yezi0511/SEED-Emotion-Recognition

  在 SEED 数据集上做 EEG 情绪识别

  Language:Python910013

• Abhishek-Iyer1/emotion-classifcation-eeg-seed-ensemble

  Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble

  Language:Jupyter Notebook58179

• IoBT-VISTEC/EEGWaveNet

  source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)

  Language:Python39107

• kolomomo/Image_retrieval_qt

  QT界面+图像检索+神经网络

  Language:Python272

• muzixiang/EEG_Emotion_Feature_Engineering

  Language:Python262315

• Qianli-Wu/EEG_classification

  The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG dataset.

  Language:Python11200

• data-man-34/TensorFlow-Projects

  Small projects in TensorFlow: CNN for Google Quick Draw Game and MNIST; LSTM-RNN, SVM, and the Min-Max-Module for SJTU Emotion EEG classification, etc.

  Language:Jupyter Notebook32

• deepakmathi/Epilepsy-detection-using-EEG-signal

  To design a model to Detect Epilepsy seizure usiing EEG signal. The lowest frequency sub-band was selected to perform feature extraction. Discrete Wavelet Transform (DWT) was applied and Vector Analysis was used for feature extraction. Software used: Matlab. Used various techniques(such as SVM, ANN, Thresholding) augmented with the base implementation to improve the prediction accuracy

  Language:MATLAB3

• havugifelix/EEG-feature-selection-and-cognitive-load-classification-using-CNN-GMM-and-K-means-clustering

  Language:Jupyter Notebook21

• vc-cloud/EEG-Conformer

  EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

  Language:Python1000