This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
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Updated
Aug 1, 2024 - R
This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Octree/Quadtree/N-dimensional linear tree
JVector: the most advanced embedded vector search engine
Prueba de un sistema de recomendación de Pokémon utilizando el algoritmo de filtrado colaborativo basado en los k vecinos más cercanos (K-Nearest Neighbors, KNN).
gpu powered brute force knn ground truth dataset generator
Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
Workshop CDK Template to provision infra for the Deep Visual Search workshop
Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.
C++/Python implementation of Nearest Neighbor Descent for efficient approximate nearest neighbor search
Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.
The goal was to accurately estimate the value of real estate and uncover relevant factors that directly influence property prices. The study used two different models, multiple linear regression and k-Nearest Neighbours (kNN), to predict housing prices.
Open-source AI library (audio to text, simple NLP, and common algorithms)
PostgreSQL vector database extension for building AI applications
Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables
Instance-based uncertainty estimation for gradient-boosted regression trees
scikit-learn compatible estimators for various kNN imputation methods
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