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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial-diffusion-attacks-on-graph-based-traffic-prediction-models

adversarial-example-games

Code for Adversarial Example Games NeurIPS 2020 Paper

adversarial-explainable-ai

💡 A curated list of adversarial attacks on model explanations

adversarial-recommender-systems-survey

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.

adversarial-recurrent-ids

Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intrusion Detection Systems. Also contains code for "SparseIDS: Learning Packet Sampling with Reinforcement Learning" (branch "rl").

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

adversarial-training

PGD adversarial training in PyTorch

ai_security

This is a paper list about Machine Learning for IDSes

aif360

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.

alibi

Algorithms for explaining machine learning models

alx-low_level_programming

ALX Software Engineering C Programming

alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-system_engineering-devops

AXL Shell basics

alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

applied-reinforcement-learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

attack-and-defense-methods

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

auto-machine-learning-classification

Auto-Machine-Learning-Practice

auto-machine-learning-clustering

Auto-Clustering

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

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

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesian_irl

Bayesian Inverse Reinforcement Learning with simple environments

bayesianml

This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.

bert-related-papers

BERT-related papers