Jerome Dinal Herath's repositories
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).
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)
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
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.
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
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.