KaiHuangMO's Stars
INFORMSJoC/2021.0076
JasonZhang156/awesome-mixed-sample-data-augmentation
A collection of awesome things about mixed sample data augmentation
XingJinming-real/FRSFS
基于模糊粗糙集的特征提取
narek-davtyan/LoRAS
Localized Randomized Affine Shadowsampling (LoRAS) oversampling technique
KaiHuangMO/SMOTE-WENN
Complete CODE inSMOTE-WENN
TianxiangZhao/GraphSmote
Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
IBM/AMLSim
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.
bhaveshkr/Subtractive-Clustering-Algorithm
Research Paper: Fuzzy Model Identification Based on Cluster Estimation
miemie2013/Keras-YOLOv4
yolov4 42.0% mAP.ppyolo 45.1% mAP.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
voutilad/paysim-demo
Generate network graphs of virtual mobile money networks including simulating some bad apples
sharmaroshan/Fraud-Detection-in-Online-Transactions
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
songhengyang/face_landmark_factory
These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
safe-graph/UGFraud
An Unsupervised Graph-based Toolbox for Fraud Detection
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
ahangchen/rank-reid
Keras based Person reid siamese network and learning to rank based transfer learning
JDAI-CV/Partial-Person-ReID
balikasg/topicModelling
A project with topic model implementations
fanghon/lpr
一个实际场景下的中文车牌识别软件 the chinese license plate recognition software in unconstrained environment
bubbliiiing/yolov4-keras
这是一个YoloV4-keras的源码,可以用于训练自己的模型。
KaiHuangMO/FaceRecog_FaceNet
Do Face Recognition with keras and FaceNetAlgorithm. Can Detect in image and vedio. Face Detection using Haar-Like Adaboost Algorithm.
michalkoziarski/RBU
Radial-Based Undersampling for Imbalanced Data Classification
AlirezaKm/HUE
Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems
itskalvik/ST-GCN
Unofficial Tensorflow implementation of the AAAI'18 paper "Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition"
LZQthePlane/Online-Realtime-Action-Recognition-based-on-OpenPose
A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.
open-mmlab/mmskeleton
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
YangZeyu95/unofficial-implement-of-openpose
Implement of Openpose use Tensorflow
CMU-Perceptual-Computing-Lab/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
dipakkr/3d-cnn-action-recognition
Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.