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Full-stack observability with actually useful AI | Grafana Cloud
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PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural...
a very lightweight advanced terrain-rendering and 3D map rendering sys
...It took something like 2 years to develop it. It's technically a view-dependent, continuous dynamic level-of-detail rendering algorithm. Main features are simplicity and documentation.
Does easily a 4k x 4k terrain, but also much more.