juiko Goto Github PK

2017-04-22-globalazurebootcamp2017

amlsim

The AMLSim project is intended to provide a multi-agent based simulator that generates a series of banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing your machine learning models and graph algorithms. We welcome you to enhance this effort since data set is critical to advance our detection capabilities of money laundering activities .

awesome-outlier-detection-resources

Outlier detection related books and papers.

cnn-hierarchical-network-for-document-classification

This repository contains the implementation of paper "Hierarchical Attentional Hybrid Neural Networks for Document Classification"

deepai

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

deeppaper

The Financial Audit Data Analytics Paper Collection is an academic paper collection that encompasses data analytics, machine learning, and deep learning papers that produce experimental results related to the audit of financial accounting data.

dgfraud

A Deep Graph-based Toolbox for Fraud Detection

ocan

research-arms

sdmetrics

Metrics to evaluate quality and efficacy of synthetic datasets.

sdv

Synthetic Data Generation for tabular, relational, time series data.

transformers-for-lawyers

AI apps/benchmark for legaltech