Name: Nate Bastian
Type: User
Company: United States Military Academy
Bio: Passion for the scientific discovery and translation of actionable insights into effective decisions using operations research, data science, AI & computing.
Location: West Point, NY
Nate Bastian's Projects
Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
Adversarial Threat Matrix
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Army Medical Department (AMEDD) AC Officer Promotion Trends
ARMORY Adversarial Robustness Evaluation Test Bed
Coursera Advanced Machine Learning Specialization: Code Implementation and Corresponding Papers
Covid_19 Data Analytics
R notebooks for the code samples of the book "Deep Learning with R"
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Deep Learning Example for Cyber Analytics
Tutorial on creating your own GAN in Tensorflow
Manage and coordinate resources across West Point's GPU-based computing systems.
A toolkit for developing and comparing reinforcement learning algorithms.
Hands-On Reinforcement Learning with Python, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
Resources for "Introduction to Deep Learning" course.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Deep Learning for humans
Blog with Keras news, tutorials, and demos.
Example code from Learning Spark book
Machine Learning Boot Camp Short Course
continuous integration rep