Decision Model (DMN) component library
accumulable-elements: Web Components for visualizing the Diffusion Decision Model
accumulable-math: Equations for calculating the Diffusion Decision Model
n8n node for DMN (Decision Model and Notation) decision tables
Hash JDM Rule Editor is an open-source React component for crafting and designing Hash JDM (JSON Decision model) files. Whether you’re a developer, data analyst, or decision model expert, Hash JDM Editor can help you harness the full potential of decision
JDM Editor is an open-source React component for crafting and designing JDM (JSON Decision model) files. Whether you’re a developer, data analyst, or decision model expert, JDM Editor can help you harness the full potential of decision modeling, making i
JDM Editor is an open-source React component for crafting and designing JDM (JSON Decision model) files. Whether you’re a developer, data analyst, or decision model expert, JDM Editor can help you harness the full potential of decision modeling, making it
n8n node for DMN (Decision Model and Notation) decision tables
No description provided.
[](https://opensource.org/licenses/MIT)
A decision table view for dmn-js
Process-global proxy routing for Node.js.
A library to create, minimize and optimize binary decision diagrams
With this package, you can generate predictions of machine learning models trained with YDF in browser and with NodeJS.
Markdown Architectural Decision Records
selderee plugin - selectors decision tree builder for htmlparser2 DOM.
No description provided.
Selectors decision tree - choose matching selectors, fast
JDM Editor is an open-source React component for crafting and designing JDM (JSON Decision model) files. Whether you’re a developer, data analyst, or decision model expert, JDM Editor can help you harness the full potential of decision modeling, making it
SDK for interacting with Adzerk's Decision API
OpenTelemetry B3 propagator provides context propagation for systems that are using the B3 header format
Decision API specification.
Alias package for @nbiish/giizhendam-aabajichiganan-mcp.
A local-first decision operating system for investment, finance, and management judgment.
This library provides several ways of describing a finite Markov Decision Process (MDP) model (see FiniteMDP::Model) and some reasonably efficient implementations of policy iteration and value iteration to solve it (see FiniteMDP::Solver).
Edoxen provides a Ruby library for working with resolution models, allowing users to create, manipulate, and serialize resolution data in a structured format. It is built on top of the lutaml-model serialization framework, which provides a flexible and extensible way to define data models and serialize them to YAML or JSON formats.
Grant is a Ruby gem and Rails plugin that forces you to make explicit security decisions about the operations performed on your ActiveRecord models.
Ruby port of the Home Care Cost Model reference implementation. Calculates recommended PSW, housekeeping, and nursing hours, private-pay cost, subsidised hours, and the 2026 federal/provincial tax relief stack for Canadian households.
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
Decision anchoring and reference point effects for brain-modeled agentic AI
Decision fatigue modeling — ego depletion, willpower tracking, and quality degradation for brain-modeled agentic AI
Damasio's Somatic Marker Hypothesis for brain-modeled agentic AI decision-making
RCP Network stands for a neural network that uses decision tree for prediction, struct_rand for generating new data, and readlines and espeak for orating dangling modifiers at random for intentional unintentional humor. This model will be expanded to other reasoning models, like generating small amounts of dictionary data from Duck Duck Go. You can write this Saasagi subroutine automatically through .prewrite. Instructions coming soon. Igrigork: https://github.com/igrigorik/decisiontree Dejan: https://github.com/dejan/espeak-ruby
Strategic externalization of cognitive tasks — offloading decisions, store trust, and retrieval tracking for brain-modeled agentic AI
Somatic marker hypothesis for brain-modeled agentic AI — internal body-state monitoring, vital signal tracking, and somatic markers that bias decisions based on past outcomes associated with similar internal states.
Models guiding beacons that periodically sweep their beam to illuminate areas of uncertainty, helping navigate complex decision spaces. Beacons can be steady or rotating, can dim in fog, and can guide other agents through ambiguity.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.