A high performance implementation of HDBSCAN clustering.

The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)

MTEB: Massive Text Embedding Benchmark

Beta Machine Learning Toolkit

Statistical Machine Intelligence & Learning Engine

Clustering with Agglomerative and DBSCAN algorithm Machine Learning

Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

🍊 📊 💡 Orange: Interactive data analysis

LIDAR pointcloud clustering

Brewing GAPBS with vertex reordering and graph segmentation

A numerical computation library for C#

AI POCS: ML, NLP, LLM, Vision, Classification, clustering, GenAI, Transformers, PyTorch, Keras, All things AI POCS.

Implementation of AutoEncoder in PyTorch for k-Means Clustering

This project uses customer segmentation to analyse customer data from a firm and then draws findings and data-driven ideas from it. The data collection consists of consumer data from Ulabox, an online supermarket.

eBPF based cloud-native load-balancer. Powering Kubernetes|Edge|5G|IoT|XaaS Apps.

The Machine Learning Module

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

This project clusters regencies/cities in Indonesia based on welfare indicators using the Fuzzy C-Means (FCM) algorithm and Particle Swarm Optimization (PSO).