Bingsong Bai's repositories
MySuperviser
导师评价信息表，内容源自导师评价网(mysuperviser.org)，仅供个人参考
EatecPlayerMaster
食课——PyQt5多功能视频播放器（数据管理、笔记、识别字幕、视频关键词生成）
MER_with_DEAM
Music Emotion Recognition task using DEAM dataset
ImageLabeller-master
A viewer for image classification labeling, suitable for deep learning/machine learning labeling of data. 一个用于图片分类标注的浏览器，适合深度学习/机器学习标注数据标签
mtg-jamendo-dataset
Metadata, scripts and baselines for the MTG-Jamendo dataset
shawnpi.github.io
shawnpi的个人博客
ShawnPi233.github.io
My own blog（我的博客主页）
423nbu-thesis.csl
宁波大学学位论文要求格式
AI_cover
A repository for AI song cover
Codes
这是我的Git库
DBSCAN
Implementation of DBSCAN Algorithm in Python.
GAN-AD
We used generative adversarial networks (GANs) to do anomaly detection for time series data.
kaggle-birdcall-resnet-baseline-training
The repository to show the way I trained https://www.kaggle.com/hidehisaarai1213/birdcall-resnet50-init-weights
keras-applications
Reference implementations of popular deep learning models.
Keras-TextClassification
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
MagicViewer
一款基于PyQt5的开源图片浏览器
mermaids_thesis_project
Thesis Project on Music Emotion Recognition
Multimodal-Emotion-Recognition
This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.
python3-algorithms
Python3 数据结构与算法的介绍及应用。1. 数据结构：数组、链表、栈、队列、树、堆、图； 2. 典型排序算法：冒泡排序、选择排序、插入排序、希尔排序、堆排序、归并排序、快速排序、桶排序、计数排序、基数排序； 3. 查找算法： 顺序查找、二分查找、哈希表查找、二叉查找树、平衡二叉查找树(AVL树、红黑树)、平衡多路查找树(B树、B+树)；4. LeetCode 和《剑指Offer》刷题、多种方法的题解
pytorch-Deep-Learning
Deep Learning (with PyTorch)
pytorch-examples
Simple examples to introduce PyTorch
Symbolic-Music-Genre-Transfer-with-CycleGAN-for-pytorch
An copy of the Pytorch version of music style transfer based on the cycle-gan
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
youtube-8m
Code of PhoenixLin(3rd place) in the 2nd Youtube8M Video Understanding Challenge