chitudesusuzi

chitudesusuzi's Stars

• hsuan9027/MI-STViT

  Motor Imagery EEG Classification Model based on Visual Transformer with Spatiotemporal Information Extraction

  Language:Python5

• zhouxxd999/Transformer-MSCNN_for_EEG

  使用Transformer和CNN网络对脑电运动进行分类

  Language:Jupyter Notebook12

• renhong-zhang/eeg-emotion-recognition-with-vit

  Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.

  Language:Python485

• zwcolin/EEG-Transformer

  A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

  Language:Python14117

• robintibor/braindecode-1

  Deep learning software to decode EEG or MEG signals

  Language:Python62

• lisatiny/Deep-Learning-for-Event-Driven-Stock-Prediction

  Deep Learning for Event-Driven Stock Prediction

  1

• antujn/Event-Driven-Stock-Prediction-using-NLP

  Language:Python2

• midan171/event_driven_stock_prediction_sample

  A python application that uses pre-trained weights of a FF Neural Network to predict the probability of a stock having a higher closing price the next day.

  Language:Python11

• Wentao-Xu/HIST

  The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

  Language:Python23265

• vedic-partap/Event-Driven-Stock-Prediction-using-Deep-Learning

  A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

  Language:Python19891

• valuesimplex/FinBERT

  669108

• alibaba/EasyNLP

  EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

  Language:Python2k251