Amazon SageMaker Local Mode Examples
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Updated
Feb 11, 2025 - Python
Amazon SageMaker Local Mode Examples
The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel trajectories.
The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.
Sliced Detection and Clustering Analysis Toolkit
Python library designed to classify photos containing specific individuals from a collection of images.
Recommends songs from dataset of 232K songs from Spotify. Uses HDBSCAN and Siamese Network. An ML Project
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