Pinned Repositories
adversarial-robustness-toolbox
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
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).
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).
logparser
A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
Markov_model_Opportunistic_RequestRouting
[code] "A Markovian Model for Analyzing Opportunistic Request Routing in Wireless Cache Networks" by J. Dinal Herath and Anand Seetharam. In: IEEE Transactions in Vehicular Technology (TVT) (2018)
OpenGL_Room
OpenGL project of a 3D scene of a room.
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).
Snake_Robots
[code] "Comparison of Serial and Parallel Snake Robots for Lateral Undulation Motion Using Gazebo" by J. Dinal Herath and K. Jayananda. In: IEEE International Conference on Information and Automation for Sustainability (ICIAfS) (2016)
Watershed_Segmentation
Matlab files for application of watershed segmentation on Brain MRI Images
dherath's Repositories
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)
dherath/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).
dherath/OpenGL_Room
OpenGL project of a 3D scene of a room.
dherath/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).
dherath/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).
dherath/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
dherath/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
dherath/ctci-solutions
Python solutions to Cracking the Coding Interview (6th edition)
dherath/CTGCN
k-core based Temporal Graph Convolutional Network for Dynamic Graphs
dherath/data-science-question-answer
A repo for data science related questions and answers
dherath/DS-Career-Resources
Compilation of resources and insights that helped me on my journey to data scientist
dherath/DynamicGEM
dherath/EvolveGCN
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
dherath/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
dherath/interpretable-ml-book
Book about interpretable machine learning
dherath/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
dherath/pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
dherath/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
dherath/dagster-open-platform
dherath/data-centric-ai
Resources for Data Centric AI
dherath/dbt_tutorial
repository for dbt tutorial
dherath/dherath.github.io
personal website
dherath/GCN_example
GCN gpu example using pytorch-geometric
dherath/hugo-theme-cactus
Cactus theme for hugo
dherath/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
dherath/pokesprite
Database project of box and inventory sprites from the Pokémon core series games
dherath/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
dherath/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.
dherath/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.
dherath/WebsiteMaterial