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Mlr: Machine Learning in R. It is listed under Data & Analytics on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Mlr. This is an automatic list. We have not written a researched verdict for Mlr yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Postgres with GPUs for ML/AI apps.
PostgresML is a Postgres database with GPUs attached for machine learning and AI applications. It keeps vectors, models and application data in one place, so a team can create embeddings, index, filter and rank vectors, and run inference and grounded answers directly in SQL instead of operating a separate vector databa...
Tribuo - A Java machine learning library
Tribuo is an open source machine learning library written in Java and maintained by Oracle. It gives Java developers a single, strongly typed interface for classification, regression, clustering, anomaly detection and multi label classification, along with tools for model development and evaluation. The library wraps ...
A Python client for the Neo4j Graph Data Science (GDS) library
Graph Data Science is Neo4j's analytics and machine learning product for working with connected data. It lets teams run graph algorithms over the relationships in their data to improve predictions and uncover insights that are hard to see in tabular views. Neo4j places Graph Data Science in its self managed range along...
Hopsworks - Data-Intensive AI platform with a Feature Store
Hopsworks is an AI lakehouse and machine learning platform built around a feature store. It covers the full ML lifecycle in one system: a central repository for feature data with sub millisecond online retrieval, a model registry, experiment tracking, model serving and deployment pipelines, and monitoring. The feature...
Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).
imodels is an open source Python package for concise, transparent and accurate predictive modeling. It gives data scientists a scikit learn compatible interface to interpretable models, so a classifier or regressor can be imported, fitted and used with the familiar fit and predict methods. The aim is to replace black b...
Image annotation with Python.
Labelme is a desktop image annotation application for Windows, macOS and Linux that uses AI models running locally on the user's computer. It is made by the creator of the open source Labelme project, which began in 2016 and remains maintained. This listing covers the commercial application. Users open a folder of ima...