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Postgresml: Postgres with GPUs for ML/AI apps. 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 Postgresml. This is an automatic list. We have not written a researched verdict for Postgresml 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.
Multi-class confusion matrix library in Python
PyCM is a multi class confusion matrix library written in Python. It is used to evaluate classification models after training, accepting either input data vectors or a ready made matrix and then computing a broad set of per class and overall statistics from it. The project describes itself as the swiss army knife of co...
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...
Machine Learning in R
The mlr package is a machine learning framework for the R programming language. It provides a single interface to a large number of classification, regression, survival analysis and clustering methods, so users do not need to write separate wrappers for each algorithm in R. Around that interface it supplies the surrou...
Graph-Native Infrastructure for Context and Accountable AI Systems
Semantica is a governed context and semantic layer for enterprise AI. It sits between data sources and AI agents, turning documents, streams and databases into structured context, business semantics and provenance that an LLM, vector store or agent framework can reason over. The aim is that every fact traces to its sou...
A refreshing functional take on deep learning, compatible with your favorite libraries
Thinc is a lightweight, type checked deep learning library for composing models in Python. It comes from the makers of spaCy and Prodigy, and earlier versions of the library have powered spaCy since its release. The current design is a redesign that takes a functional approach to defining neural networks. The library ...
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 ...