dherath

CFGExplainer

[code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Priti Prabhakar Wakodikar, Ping Yang and Guanhua Yan. In: IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (2022)

DeepLearning_for_Wireless_Signal_Strength_Prediction

[code] “A Deep Learning Model for Wireless Channel Quality Prediction”. By J. Dinal Herath, Anand Seetharam, Arti Ramesh. In: IEEE International Conference on Communications (ICC-2019).

OpenGL_Room

OpenGL project of a 3D scene of a room.

Log_Anomaly_Mask

[code] "Real-Time Evasion Attacks against Deep Learning-Based Anomaly Detection from Distributed System Logs" by J. Dinal Herath, Ping Yang and Guanhua Yan. In: Proceedings of The 11th ACM Conference on Data and Application Security and Privacy (CODASPY) (2021).

RAMP

[code] "RAMP: Real-Time Anomaly Detection in Scientific Workflows" by J. Dinal Herath, Changxin Bai, Guanhua Yan, Ping Yang, Shiyong Lu. In: IEEE International Conference on Big Data (2019).

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

CTGCN

k-core based Temporal Graph Convolutional Network for Dynamic Graphs

data-science-question-answer

A repo for data science related questions and answers

DS-Career-Resources

Compilation of resources and insights that helped me on my journey to data scientist

DynamicGEM

EvolveGCN

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

interpretable-ml-book

Book about interpretable machine learning

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

dagster-open-platform

data-centric-ai

Resources for Data Centric AI

dbt_tutorial

repository for dbt tutorial

dherath.github.io

personal website

GCN_example

GCN gpu example using pytorch-geometric

hugo-theme-cactus

Cactus theme for hugo

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

pokesprite

Database project of box and inventory sprites from the Pokémon core series games

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

relataly-public-python-tutorials

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

solid-waste-prediction

This repository contains a collection of experiments that attempts in predicting the municipal solid waste generation of five areas around the world.

WebsiteMaterial