HROlive / Applications-of-AI-for-Anomaly-Detection

Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.

Date Created 2023-03-01 (2 years ago)

Commits 25 (last one 4 months ago)

Stargazers 39 (0 this week)

Watchers 1 (0 this week)

Forks 22

License unknown

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RepositoryStats indexes 631,885 repositories, of these HROlive/Applications-of-AI-for-Anomaly-Detection is ranked #551,849 (13th percentile) for total stargazers, and #556,382 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,558/19,028.

HROlive/Applications-of-AI-for-Anomaly-Detection is also tagged with popular topics, for these it's ranked: python (#21,281/23400), deep-learning (#8,069/8803), machine-learning (#7,662/8396), tensorflow (#2,183/2300), keras (#772/809), pandas (#560/604), generative-adversarial-network (#355/381), anomaly-detection (#311/355), notebook (#270/288)

All Topics

keras pandas python rapids xgboost notebook nvidia-gpu tensorflow autoencoders deep-learning machine-learning anomaly-detection generative-adversarial-network

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updated: 2025-03-25 @ 01:07am, id: 608068384 / R_kgDOJD5jIA