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 22 days ago)

Stargazers 26 (2 this week)

Watchers 2 (0 this week)

Forks 17

License unknown

Ranking

RepositoryStats indexes 584,353 repositories, of these HROlive/Applications-of-AI-for-Anomaly-Detection is ranked #574,406 (2nd percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,673/17,098.

HROlive/Applications-of-AI-for-Anomaly-Detection is also tagged with popular topics, for these it's ranked: python (#21,785/22011), deep-learning (#8,321/8389), machine-learning (#7,852/7926), tensorflow (#2,232/2241), keras (#788/790), pandas (#572/578), generative-adversarial-network (#366/367), anomaly-detection (#324/328), notebook (#277/278)

All Topics

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

25 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-19 @ 10:34am, id: 608068384 / R_kgDOJD5jIA