jia-j's repositories

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

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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

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AC

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

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att-blstm

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

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Att-BLSTM-relation-extraction

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

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Awesome-Multimodal-Research

A curated list of Multimodal Related Research.

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BigProject

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

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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.

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Deep-Learning-for-EEG-Based-Biometrics

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

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DeepCU-IJCAI19

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

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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。

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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

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EEG-Decoding

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

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EEG-DL

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

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eeg_multiclassification

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

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embracenet

Robust multimodal integration method implemented in TensorFlow

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emotion-recognition-1

Using deep learning to recognise emotions with physiological signals to help those who find it difficult to express themselves

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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Gumbel-Channel-Selection

Perform EEG Channel selection with Gumbel-softmax

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multimodal_generative_fusion_framework

A Deep Multimodal Generative and Fusion Framework for Class-imbalanced Multimodal Data

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news_classification

卷积神经网络&&爬虫 实现网易新闻自动爬取并分类

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SDML

Scalable deep multimodal learning for cross-modal retrieval (SIGIR 2019, PyTorch Code)

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seizure-detection-ACS

Automatic channel selection for seizure detection

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TomBERT

Dataset and codes for our IJCAI 2019 paper "Adapting BERT for Target-Oriented Multimodal Sentiment Classification"

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V-3DCNN

for the paper "V-3DCNN, emotion recognition based on EEG"

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