Integrate NAB Transact payment gateway using the php library built on top of Omnipay PHP payment processing library.
Anomaly detection in NAB dataset using mxnet and scikit-learn
LSTM autoencoder for database/server anomaly detection on real AWS CloudWatch CPU data (NAB), trained only on normal data, with an interactive Streamlit dashboard of anomaly scores, threshold, confirmed incidents and CSV export.
Convolutional autoencoder in JAX/Flax for NYC Taxi (NAB): 6-optimizer benchmark incl. Muon, 5/5 anomalies detected
NAB Transact Hosted Payment Gateway for WHMCS
Motor de consultas determinista con validación transaccional, escrito en Rust. Funciona completamente en local sin depender de internet ni APIs externas.
AJ Style and Tech
Config-driven benchmark suite for time-series anomaly detectors across UCR, SMAP/MSL, and NAB with reproducible evaluation and reporting.
Anomaly detection baselines on 8 real NAB sensor streams — including a random control that beats every working detector under the common point-adjust protocol. Three evaluation protocols, honest upper bounds, reproducible.
OES-32/OES-512 classical residual latch with a self-calibrated threshold, benchmarked on NAB's 47 labelled real-data series vs rolling z-score, CUSUM and IsolationForest. Research prototype; not a stabilizer QEC code.
Temporal Convolutional Network based anomaly detector for time-series data with a bandit-learned alerting threshold. Tested on AWS CloudWatch CPU data from the Numenta Anomaly Benchmark, including a simulated cost-regime shift to measure adaptation vs. a static threshold.
Fair benchmark of time-series anomaly detectors (Rolling Z-Score, Isolation Forest, Autoencoder) on NAB with event-level metrics and bootstrap CIs.
Autonomous NAB Show 2026 news aggregator — managed by a Claude Code agent team, deployed on Open Source Cloud
Streaming anomaly scoring for multichannel telemetry (numpy core, optional scikit-learn Isolation Forest) with benchmarks on synthetic data and public NAB/SMD datasets. Research prototype.
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