schaelle

AdvPhishing

This is Advance Phishing Tool ! OTP PHISHING

Anomaly-Detection-Deep-SVDD-Tensorflow

Tensorflow Implementation of Deep SVDD

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

benchmark

Benchmark data warehouses under Fivetran-like conditions

CursedChrome

Chrome-extension implant that turns victim Chrome browsers into fully-functional HTTP proxies, allowing you to browse sites as your victims.

CVE-2019-19781

Remote Code Execution Exploit for Citrix Application Delivery Controller and Citrix Gateway [ CVE-2019-19781 ]

deep-outlier-detection

Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection

DeepSAD

Tensorflow implementation of the Deep SAD

deviation-network

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection

df-ml-anomaly-detection

Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP

Entity-Embedding-with-LSTM-for-Time-Series

Entity Embedding with LSTM for Time Series

Fence_GAN

Fence GAN: Towards Better Anomaly Detection

GANs_for_Credit_Card_Data

katacoda-scenarios

Katacoda Scenarios

Keras-GAN

Keras implementations of Generative Adversarial Networks.

livechat-example

LombScargleSpectrogram

Example of how to compute a spectrogram on irregularly (nonuniform) sampled data using Lomb-Scargle periodogram

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

MemAE-TF2

TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"

microfeed

a lightweight cms self-hosted on cloudflare, for podcasts, blogs, photos, videos, documents, and curated urls.

multi-mesh-examples

Examples for multi mesh

One-Class-NeuralNetwork

Simplified implementation of one class neural network for nonlinear anomaly detection.

RCC-Dual-GAN

An Efficient Approach for Outlier Detection with Few Identified Anomalies

rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

SHAP_on_Autoencoder

Explaining Anomalies Detected by Autoencoders Using SHAP

siamesenetwork-tensorflow

Using siamese network to do dimensionality reduction and similar image retrieval

SSD

SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]

umap-java

A Uniform Manifold Approximation and Projection (UMAP) library for Java, developed by Tag.bio in collaboration with Real Time Genomics.

Unsupervised_Bank_Card_Fraud_Detection

Bank Card Fraud Detection project that uses 'unsupervised anomaly detection' and 'unsupervised & supervised deep learning' techniques to detect anomalous data points.

webscan

Browser-based network scanner & local-IP detection