Rajesh Kalakoti's repositories
active-learning-workshop
Active Learning Workshop Materials
cvplot
Understand machine learning models with Contribution-Value plots
cyblock
cyblock webiste for latest use cases of blockchain and cyber security
data_science_with_R
Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount) https://github.com/WinVector/PDSwR2
DiCE-counter-factual-
Generate Diverse Counterfactual Explanations for any machine learning model.
DSML-Book-proramms-
Programs
ethereum-ponzi
Scripts and public dataset for "Dissecting Ponzi schemes in Ethereum"
HyperParameter-Optimization
Machine Learning Hyperparameter Optimization (Grid Search and Random Search)
javascript_HackerRank_Codewars_Problems
HackerRank and Code wars solutions.
mace-counter-factuals-
Model Agnostic Counterfactual Explanations
Machine-Learning-Engineering-with-Python
Machine Learning Engineering with Python
MachineLearningBook
The companion repository for the book "Machine Learning Fundamentals".
membership_inference
Python package to create adversarial agents for membership inference attacks againts machine learning models
ml_equations_latex
Classical ML equations in Latex, helps paper and blog writing
Model-extaction-attacks
Model extraction attacks on Machine-Learning-as-a-Service platforms.
pytorch-beginner
pytorch tutorial for beginners
pytorchTutorial
Pytorch tutorials
Slot-machine-Game
slotmachine game challenge
stats
Ejercicios de la asignatura "Hidrología" del Master en Gestión Ingegral de Sistemas Hídricos de la Universidad de Cantabria
strengthening-dnns_text_book
Code repository to accompany the O'Reilly book: "Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery"
XAI_GAN
This work was accepted at the AAAI-21 Explainable Agency Workshop. It implements a new class of GAN that leverages recent advances in explainable AI (xAI) systems to make training more data-efficient.