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Tribuo: Tribuo - A Java machine learning library. 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 Tribuo. This is an automatic list. We have not written a researched verdict for Tribuo 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.
MOA is an open source framework for Big Data stream mining.
MOA, short for Massive Online Analysis, is an open source Java framework for machine learning on data streams, developed at the University of Waikato and related to the WEKA project. It is built for settings where data arrives continuously and models must learn incrementally, and a book about it has been published by M...
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...
Build a complete experiment pipeline for your PyTorch MIP model in 10 seconds.
MIP Candy is an open source Python framework for medical image processing research, built by Project Neura. It provides ready to use training, inference and evaluation pipelines so researchers can prototype models without writing repetitive boilerplate. The tagline describes it as a candy for medical image processing a...
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...
nannyml: post-deployment data science in python
NannyML is a post deployment monitoring product for machine learning models. Its core idea is to estimate model performance when ground truth labels are delayed or missing, so a team can see how a model is doing and be alerted when performance drops rather than when data merely drifts. The company says this cuts false ...
Visualizer for neural network, deep learning and machine learning models
Netron is a viewer for neural network, deep learning and machine learning models. It opens a model file and draws its graph so developers and researchers can inspect the layers, operators and structure of a model, which is useful when debugging, converting or documenting models. The viewer supports ONNX, TensorFlow Li...