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-cascade-rcnn-

天津大学2017级软件工程计算机视觉课程大作业，参与者 赵为 周玮康 杨欣捷，基于改进Cascade-RCNN的垃圾目标检测系统

ac

Machine learning and deep learning were used to conduct affective computing on DEAP data sets and AMIGOS data sets.

adaboost_cnn

adaboost_m2_mnist

Perform Boosting feedforward neural networks on MNIST database using AdaBoost.M2. Adaboost.M2 is a mutliclass boosting algorithm

aser-with-attention-mechanism-using-blstm

Sept 2018 - present

att-blstm

PyTorch Implementation of paper "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification"

att-blstm-relation-extraction

Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

attention-based-blstm

attentionconvlstm

"Attention in Convolutional LSTM for Gesture Recognition" in NIPS 2018

awesome-multimodal-research

A curated list of Multimodal Related Research.

bi-directional-lstm-for-eeg-signal-classification

bigproject

EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models

binary_physio_net

This is the architecture of a deep neural network architecture of cascading 1D CNN and LSTM network that extracts deep learned features from two physiological signal in parallel.

boostcnn

Boosting Convolutional Neural Networks

brain-data-classifier

Code to train a neural network to identify from which lobe of the brain (left or right) has an inputed EEG signal been recorded from

conv3d_clstm

Multimodal Gesture Recognition Using 3D Convolution and Convolutional LSTM

cpsc2019_challenge_final

China Physiological Signal Challenge 2019: QRS & heart rate detection by BiLSTM semantic segmentation

crnn-deep-learning-for-eeg

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

deep-learning-for-eeg-based-biometrics

Affective EEG-Based Person Identification Using the Deep Learning Approach (IEEE Transactions on Cognitive and Developmental Systems)

deepcu-ijcai19

DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI-19

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

eeg

PyTorch EEG emotion analysis using DEAP dataset

eeg-attention-bilstm-gcn

eeg-cluster

**科学技术大学 中科大模式识别聚类作业 EEG脑电图分析

eeg-decoding

Implemented CNN and RNN with PyTorch to learn and predict EEG dataset.

eeg-dl

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

eeg_multiclassification

Multi-Class Classification for EEG data with the Keras Deep Learning

embracenet

Robust multimodal integration method implemented in TensorFlow

emotion-recognition

Emotion recognition from EEG and physiological signals using deep neural networks