qianwang102's starred repositories
imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Keras_Deep_Clustering
How to do Unsupervised Clustering with Keras
zzx-hikvision-Java-demo
使用海康sdk实现了实时预览,历史回放和云台控制的java spring-boot程序,java菜鸟,代码会有小瑕疵,欢迎指正
continual-learning-reproduce
Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.
MNIST-center-loss
Center loss implementation in Keras
FacialExpressionRecognition
Use CenterLoss , IslandLoss at solve the Facial Expression Recognition task. (Use FER2013 Dataset)
Traffic-Classification
Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]
interpretable-han-for-document-classification-with-keras
Keras implementation of hierarchical attention network for document classification with options to predict and present attention weights on both word and sentence level.
keras-balanced-batch-generator
A Keras-compatible generator for creating balanced batches
Center_loss-CosineLoss-ArcLoss
mnist classify using center loss
center_loss
Here is my implementation of Center Loss with Keras
ood_confidence_tensorflow
Here is an unofficial implementation of "Learning Confidence for Out-of-Distribution Detection in Neural Networks"
Network-Traffic-Classification
Network traffic Simulation & Classification system
n_class-m_samples-Balanced-Batch-Generator
This repository contains a Keras-compatible generator that yields balanced batches consisting of n different classes with m samples, respectively.
BT-FER-WILD
The code that I used for my bachelor thesis on facial expression recognition in the wild.
Incremental-Learning-with-Keras-and-Creme
The model trained on all 25,000 samples, we reach 97.6% accuracy.
my-incremental-learning
my improvements and innovations to the current incremental learning methods
K-Means-optimization
The K-Means algorithm whose optimization is initially a cluster center