NYU Deep Learning Spring 2020

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Public repo for DeepLearning.AI MLEP Specialization

Practical machine learning notebook & articles covers the machine learning end to end life cycle.

PyBites Code Challenges

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

TRAM is an open-source platform designed to advance research into automating the mapping of cyber threat intelligence reports to MITRE ATT&CK®.

Machine Learning Tutorials in Python

PhD/MSc course on Machine Learning Security (Univ. Cagliari)

Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)

Managed Machine Learning Systems and Internet of Things Live Lesson

Machine Learning applied to Cyber Security Course

Speedy Camera Fingerprinting Library

Streamline Covert Channel Attack (presented in ASPLOS'21)

ABSA Toolkit

Python scripts for stress detection by using traditional deep learning methods and privacy preserving federated deep learning approach.

PyCascades demo content

Topic Modeling and BERT model with Netflix App reviews from Amazon's App store

Fork this template for the 100 days journal - to keep yourself accountable

Public repo for DeepLearning.AI MLEP Specialization

Jupyter notebook with analysis of mosaik events

information security analysis with machine learning