Pinned Repositories
Feature-Selection-and-Feature-Extraction
Feature Selection and Feature Extraction methods for data pre-processing.
Image-Processing-2018-Water-Extraction-Using-Object-Oriented-Method
Water extraction using object oriented method which was described in the same name paper.
JupyterHub-on-Kubernetes
Manual deployment of JupyterHub on Kubernetes for a single machine
Machine-Learning-A-Z
Comprehensive Python code of the course Machine learning A-Z
Modified-SOM
Modified versions of Self organizing map and Learning vector quantization
Plant-Monitoring
Applying IoT solution for Plant monitoring
Standalone-Spark-on-Kubernetes
Deployment of Standalone spark on Kubernetes for a single machine
STGNN-for-Covid-in-Korea
Spatio-temporal graph neural network for predicting COVID-19 new cases in Korea.
Weisfeiler-Lehman-Neural-Machine
Python code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017"
wi-uservice
KienMN's Repositories
KienMN/STGNN-for-Covid-in-Korea
Spatio-temporal graph neural network for predicting COVID-19 new cases in Korea.
KienMN/JupyterHub-on-Kubernetes
Manual deployment of JupyterHub on Kubernetes for a single machine
KienMN/Weisfeiler-Lehman-Neural-Machine
Python code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017"
KienMN/Feature-Selection-and-Feature-Extraction
Feature Selection and Feature Extraction methods for data pre-processing.
KienMN/Standalone-Spark-on-Kubernetes
Deployment of Standalone spark on Kubernetes for a single machine
KienMN/Image-Processing-2018-Water-Extraction-Using-Object-Oriented-Method
Water extraction using object oriented method which was described in the same name paper.
KienMN/Activation-Experiments
Experiments using different activation functions.
KienMN/Autoencoder-Experiments
Implementation of different autoencoders, evaluating on different datasets.
KienMN/COVID-19-in-Korea-graph
COVID-19 patient classification in Korea using Heterogeneous Graph Neural Network.
KienMN/GR-Curve-Unit-Breakdown
Several functions to analyse and visualise curves of gamma ray
KienMN/Human-activity-recoginition
Human activity recognition based on a time series dataset
KienMN/Machine-Learning-A-Z
Comprehensive Python code of the course Machine learning A-Z
KienMN/Plant-Monitoring
Applying IoT solution for Plant monitoring
KienMN/sale-forecasting-notebooks
Different models when dealing with time series data
KienMN/Modified-SOM
Modified versions of Self organizing map and Learning vector quantization
KienMN/Algorithms-Part-1
KienMN/Earth-Hack-2019-Revotech-Team
An approach for detecting automatically depofacies from shapes of GR curves
KienMN/Facies-Detection-Project
Facies detection project. (Core classes was rewritten).
KienMN/Fastai-Part2
The source code from fast.ai course: Deep Learning from the Foundations.
KienMN/Feature-Representation-Learning
Approaches to learn representation of features for better machine learning model
KienMN/ISLR-python
Python code for Introduction to Statistical Learning
KienMN/kienmn.github.io
KienMN/Package-Skeleton
Sample structure for a Python package.
KienMN/pdf2elastic
Simple python script to insert a AWS guide pdf file to Elasticsearch
KienMN/Pyspark-examples
Example code using Pyspark for processing data
KienMN/simple-ml-server-codegen
Simple Machine Learning server codegen by OpenAPIGenarator
KienMN/soa_2
KienMN/som-services
Python backend server for SOM services
KienMN/som-visualization-angularjs
AngularJS components to visualize SOM model
KienMN/USTFall2019PracticalProgramming
Scripts for the course "Practical Programming for Active Learner" of UST, Fall 2019 Semester.