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adasyn

Adaptive Synthetic Sampling Approach for Imbalanced Learning

admin-finder

Blazing fast admin panel finder with multi-threading

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").

ai-deadlines

:alarm_clock: AI conference deadline countdowns

anomaly-detection

Anomaly detection with unsupervised and supervised machine learning techniques

anomaly-detection-1

Anomaly detection using unsupervised, semi-supervised, and supervised machine learning methods

anomaly-detection-2

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

anomaly-reactionrl

Using RL for anomaly detection in NSL-KDD

aqua-sim

Aqua-Sim is an underwater sensor network simulator based-on NS-2, It's mainly developed by UWSN Lab,University of Connecticut.

aqua-sim-ng

Aqua-Sim on NS3

artificial-intelligence-for-iot-cookbook

Artificial Intelligence for IoT Cookbook, published by Packt

big_o

Python module to estimate big-O time complexity from execution time

bitcoin_prediction

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

bruteshark

Network Analysis Tool

ccf-deadlines

⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~

cehv10studyguide

Study Guide for the CEH v10

cleverhans

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

cognitive-routing-protocol

Implementation of a Channel-aware Routing Protocol in the Network Simulator for Underwater Acoustic Communication Networking

contiki

The official git repository for Contiki, the open source OS for the Internet of Things

coursera-getting-and-cleaning-data

Repo for Coursera.com online course: Getting and Cleaning Data

data-visualization-with-python

Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight

datasciencecoursera

datasciencecoursera-1

datasciencecoursera-2

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

datasharing

The Leek group guide to data sharing

decision-tree-classifier

Decision Tree Classifier in Python with Scikit Learn

deep-q-learning-paper-to-code

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc