Amazon SageMaker Local Mode Examples

The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel trajectories.

Density-Based Clustering Validation

Sliced Detection and Clustering Analysis Toolkit - a tool to quickly find and cluster salient objects in your images for accelerated labeling

An optimized C/C++ implementation of the HDBSCAN algorithm for the course Advanced Systems Lab.

Tool to access and manage 14k+ jee main pyqs with semantic clustering

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.

paper: https://link.springer.com/chapter/10.1007/978-3-031-78093-6_1

Cluster documents and extract global and local topics per cluster using LDA (Latent Dirichlet Allocation) algorithm

Implementación de algoritmos de aprendizaje no supervisado para realizar clustering a los datos del sensor LIDAR del KITTI-dataset

Intelli_Vision_Project

Density based clustering

Improved Driver Distraction Detection Using Self-Supervised Learning

Implemented machine learning across HR, Sales, Marketing, and PR to improve decision-making. Used models like XGBoost, Prophet, LSTM, clustering, and NLP to enhance retention, forecasting, segmentation, and sentiment analysis for business growth.

quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees

Python library designed to classify photos containing specific individuals from a collection of images.

Repository for fine-tuning and clustering sentence embeddings for Food Items

Finding the top news stories of 2022 among 54,000+ news on AI, ML, NLP, data science and related fields.

End-to-end NLP pipeline analyzing customer support tickets to detect sentiment, cluster topics, and generate customer insights.

A Data-Driven Approach to Online Shopper Segmentation Using PCA and Unsupervised Clustering Algorithms