Jupyter Notebook · GPL-3.0
GitiHubi/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.
★ 211
Stars
88 forks · 1 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
6.7
Momentum / 100
see the breakdown below
9y ago
Created
last push 7y ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 7y ago; decays to zero at 180 days |
| Scale | 15 | 6.7 | 211 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 6.7 | sum of the above |
Detail
| Topics | accountinganomaly-detectionautoencoderdeep-learningforensic-accountingfraudfraud-detectionfraud-preventionpytorch |
| Matched on | Business (accounting) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 0.06 stars/day over 3,452 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |