WinDBG Anti-RootKit Extension
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Updated
Jul 29, 2020 - C++
WinDBG Anti-RootKit Extension
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Deep Learning sample programs using PyTorch in C++
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Core streaming heterogeneous graph clustering and anomaly detection code (KDD 2016)
Sketch-Based Anomaly Detection in Streaming Graphs
Anomaly Detection in Dynamic Graphs
(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders
Simple anomaly detection for univariate time series data.
Anomalous versions of OpenAI Gym and PyBullet3 environments
Anomaly detection and monitoring software
My project as part of the Advanced Programming 1 course at Bar-Ilan University (2nd year)
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