qianwang102

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

Center_loss-CosineLoss-ArcLoss

mnist classify using center loss

BT-FER-WILD

The code that I used for my bachelor thesis on facial expression recognition in the wild.

MNIST-center-loss

Center loss implementation in Keras

FacialExpressionRecognition

Use CenterLoss , IslandLoss at solve the Facial Expression Recognition task. (Use FER2013 Dataset)

center_loss

Here is my implementation of Center Loss with Keras

DEC-keras

Keras implementation for Deep Embedding Clustering (DEC)

ood_confidence_tensorflow

Here is an unofficial implementation of "Learning Confidence for Out-of-Distribution Detection in Neural Networks"

Traffic-Classification

Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]

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.

keras-balanced-batch-generator

A Keras-compatible generator for creating balanced batches

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Network-Traffic-Classification

Network traffic Simulation & Classification system

X-means

K-Means-optimization

The K-Means algorithm whose optimization is initially a cluster center

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.

FSCIL-GFR

Official Code for the paper Few-Shot Class Incremental Learning with Generative Feature Replay

DDC

Yazhou Ren, Ni Wang, Mingxia Li , Zenglin Xu. Deep density-based image clustering, Knowledge-Based Systems, 2020.

DEC-DA

Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).

DEC-Keras

Deep Embedding Clustering in Keras

Keras_Deep_Clustering

How to do Unsupervised Clustering with Keras

DCN_keras

Keras Implementation of "Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering"

continual-learning-reproduce

Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.

Clustering-MNIST

my-incremental-learning

my improvements and innovations to the current incremental learning methods

IncrementalLearning

Incremental-Learning-with-Keras-and-Creme

The model trained on all 25,000 samples, we reach 97.6% accuracy.

Incremental-Learning-Deep-Neural-Networks

EFT

Class Incremental learning, Task Incremental Learning

LargeScaleIncrementalLearning