Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…
☆88Aug 28, 2019Updated 7 years ago
Alternatives and similar repositories for deepAD
Users that are interested in deepAD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 …☆211Aug 7, 2019Updated 7 years ago
- The Financial Audit Data Analytics Paper Collection is an academic paper collection that encompasses data analytics, machine learning, an…☆64Jan 25, 2021Updated 5 years ago
- A series of interactive labs we prepared for the Introduction into Artificial Intelligence and Machine Learning course. The content of th…☆17Dec 3, 2020Updated 5 years ago
- Worldquant University's Capstone Project☆14Sep 5, 2023Updated 3 years ago
- Production-ready fraud detection system using TensorFlow autoencoders with optimized CPU-GPU parallel processing. Features efficient ETL …☆10Jan 29, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆13Jun 15, 2025Updated last year
- WQU capstone project - short term currency trading strategy utilizing machine learning☆12Dec 8, 2022Updated 3 years ago
- An End-to-end Outlier Detection System☆257Mar 25, 2023Updated 3 years ago
- Python implementation of the MIDAS algorithm.☆19Feb 3, 2022Updated 4 years ago
- University of the People Programming Fundamentals assignments☆18May 16, 2021Updated 5 years ago
- Machine learning projects applied to healthcare☆15Jun 24, 2021Updated 5 years ago
- GAAL-based Outlier Detection☆133Oct 25, 2022Updated 4 years ago
- MedSearch is a Medical Knowledge Extraction System that incorporates Neural Search, Q&A, Summarization, etc. from the medical literature.☆15Jun 24, 2021Updated 5 years ago
- Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"☆16Sep 24, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Graphical Models in Heavy-Tailed Markets (NeurIPS 2021)☆40May 28, 2023Updated 3 years ago
- Textual analysis of FOMC Transcripts. My research examines the relationship between words said during FOMC meetings, and changes in Feder…☆28Dec 11, 2017Updated 8 years ago
- SCAN: A Structural Clustering Algorithm for Networks python implementation☆12Jun 11, 2015Updated 11 years ago
- data mining asosiasi algoritma apriori produk toko☆12Jun 10, 2017Updated 9 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆139Apr 20, 2022Updated 4 years ago
- Repository for teachings on Quant Finance☆51Nov 12, 2019Updated 6 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Jan 30, 2020Updated 6 years ago
- Accounting Fraud Detection Using Machine Learning☆170Mar 31, 2023Updated 3 years ago
- ☆23May 15, 2019Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Netw…☆13Dec 27, 2021Updated 4 years ago
- Inspired by the success and computational efficiency of convolutional architectures for various sequential tasks compared to recurrent ne…☆19Jan 23, 2018Updated 8 years ago
- ☆34Dec 10, 2021Updated 4 years ago
- RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…☆21Jan 21, 2019Updated 7 years ago
- AML End to End Example☆55Jun 21, 2022Updated 4 years ago
- Practical Data Wrangling, published by Packt☆18Jan 30, 2023Updated 3 years ago
- A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources☆1,903Sep 13, 2026Updated last month
- Material do curso de text mining para cientistas sociais do CPDOC☆12May 8, 2025Updated last year
- PyTorch implementation of Deep-Learning Architectures☆11Feb 12, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14May 17, 2020Updated 6 years ago
- ☆19Jul 28, 2022Updated 4 years ago
- TVP panel data model featuring time-varying network dependence introduced in "Bayesian state-space modeling for analyzing heterogeneous n…☆15Apr 17, 2021Updated 5 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Dec 12, 2021Updated 4 years ago
- GCNs Analysis: Visualization, Error Cases etc.☆14Feb 15, 2023Updated 3 years ago
- In-browser GPU-accelerated Generative Adversarial Network trained on Fashion-MNIST dataset (tensorflow + deeplearn.js)☆11Aug 28, 2018Updated 8 years ago
- Implementation of transfer learning based with autoencoder architecture☆17Jul 6, 2020Updated 6 years ago