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 (about a year ago)

Commits 25 (last one about a month ago)

Stargazers 33 (1 this week)

Watchers 2 (0 this week)

Forks 20

License unknown

Ranking

RepositoryStats indexes 595,890 repositories, of these HROlive/Applications-of-AI-for-Anomaly-Detection is ranked #555,738 (7th percentile) for total stargazers, and #485,237 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,828/17,543.

HROlive/Applications-of-AI-for-Anomaly-Detection is also tagged with popular topics, for these it's ranked: python (#21,318/22322), deep-learning (#8,161/8511), machine-learning (#7,709/8062), tensorflow (#2,207/2255), keras (#780/794), pandas (#561/585), generative-adversarial-network (#358/372), anomaly-detection (#316/336), notebook (#272/281)

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: 2024-12-20 @ 07:54am, id: 608068384 / R_kgDOJD5jIA