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Yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection. 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 Yellowbrick. This is an automatic list. We have not written a researched verdict for Yellowbrick 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.
Deep-Learning framework for Engineering AI.
The Noether Framework is an open source deep learning framework for engineering AI, built by Emmi AI. It supplies the pieces needed to build, train and apply industrial models on transformer building blocks, so engineering teams do not have to rebuild components or assemble an in house deep learning team. The framewor...
A hyperparameter optimization framework
Optuna is an open source hyperparameter optimization framework for machine learning. It automates the search for the best hyperparameter values by running many trials of a user defined objective function and learning which settings work. A search space is written directly in Python, using conditionals, loops and ordin...
Generative AutoML for Tabular Data
SapientML is an AutoML library that generates machine learning pipelines for predictive tasks. It learns from a corpus of existing datasets and the human written pipelines built for them, then uses that knowledge to produce a high quality pipeline for a new dataset instead of searching every possible combination. It i...
An open-source toolkit for large-scale genomic analysis
Glow is an open source toolkit for large scale genomic analysis, built natively on Apache Spark. It lets researchers aggregate genomic data and run data preparation, statistical analysis and machine learning at biobank scale and beyond, using the same Spark SQL engine that many organizations already use for petabyte cl...
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
Gorse is an open source recommender system engine written in Go. You import items, users and interaction data, and the system automatically trains models to generate recommendations for each user. It aims to be a universal recommender that can be added to a wide range of online services, such as content sites, shops an...
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2609.17488
LimiX is a family of foundation models for structured data, meaning rows and columns of tabular data. The current release, LimiX 2, is built around a design the developers call Contextual Mechanism Networks. Instead of training a separate model for each dataset, a single pretrained model reads a table as context and ca...