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GdeepAI
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.
Popularity
Repository stars21190,589Highest
7-day net stars——
Fork8839,434Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2019-08-072026-11-02
Maintenance notesNot verifiedUnknown
Repository created2017-05-242010-12-19
License & use
LicenseGPL-3.0 · Share derivative sourceMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeBusiness systemsBusiness systems · Security & privacy
TypeApps & systemsApps & systems
SubcategoryBusiness managementBusiness management
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Verify software, hosting, model and infrastructure costs against the current official documentation.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguageJupyter NotebookC++
About this projectDetection 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.Integration and development repository for Bitcoin Core.
Measured at2026-11-02 19:01 UTC2026-11-02 19:24 UTC
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