dherath Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

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

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

blockchain_practice

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)

codingbat_java

Solutions for Java quizes in CodingBat

codingbat_python

Solutions for python quizes in CodingBat

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

cpusimulator-1

CPU simulation framework for CS520 (Binghamton University, Graduate Computer Architecture)

cs_542_dp

CS 542 : Design Patterns (Grad course : Fall 2017)

cs_580_psthub

CS580 : Programming Systems and Tools (Grad course: fall 2017)

cs_design_patterns_a3

Assignment 3 : CS 542 Design Patterns (@ SUNY Binghamton)

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

dagster-open-platform

data-centric-ai

Resources for Data Centric AI

data-science-question-answer

A repo for data science related questions and answers

dbt_tutorial

repository for dbt tutorial

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

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.github.io

personal website

ds-career-resources

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

dynamicgem

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

gcn_example

GCN gpu example using pytorch-geometric

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

hugo-theme-cactus

Cactus theme for hugo

interpretable-ml-book

Book about interpretable machine learning