Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
- calibration
- decision-model
- jev
- jev-model
Repository Index
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:octocat: Gliding Collection is a smooth, flowing, customizable decision for a UICollectionView Swift Controller. iOS library made by @Ramotion
- swift
- library
- ios
ID3-based implementation of the ML Decision Tree algorithm
- rubyml
- decision-tree
- ruby
- machine-learning
Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions.
- agent-collaboration
- agent-workforce
- ai-agent
- local-ai
Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines
- libgdx
- pathfinding
- steering-behaviors
- formation-motion
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
A curated list of gradient boosting research papers with implementations.
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
Native vLLM serving for Jev decision models
Universal model exchange and serialization format for decision tree forests
Ensembles of decision trees in go/golang.
Low-code tool for automating actions on real time data | Stream processing for the users.
- flink
- flink-kafka
- apache-flink
- gui
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
- python
- machine-learning
- random-forest
- tensorflow
Autonomous development for real products. Governed agents build from specs you approve, follow the rules you set, and nothing merges until another agent proves it. Your decisions, judgement and taste are the bar that work must clear. Declare your vision and let agents build it.
The Android FHIR SDK is a set of Kotlin libraries for building offline-capable, mobile-first healthcare applications using the HL7® FHIR® standard on Android.
- android-fhir-sdk
- fhir
- fhir-client
- kotlin
Translated斑海豹 (Spotted Seal) — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions.
- bilingual
- calibration
- cpu-inference
- decision-making
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
TranslatedTeaches you how to get back every cent of your wages, overtime pay, and unused annual leave; how to reconnect your social insurance if it lapses, and what to do about work injury and maternity. When you are being targeted, reassigned, or laid off, you will know how to leave and how to leave no loose ends. 576 pieces of advice, each stating what it costs, what you get in return, and how solid the evidence is; sources cite only the original text of official documents and research literature.
- career
- china
- chinese
- decision-making
A framework for building decision-model harnesses for any kind of task. Your program offers the model a short list of next steps, and the model picks one at a time until it can answer.
- classifiers
- decision-models
- evals
- llm-harness
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
- ai-text-detection
- explainable-ai
- interpretability
- mechanistic-interpretability
Learn a codebase by re-deriving its design decisions yourself. A Claude Code skill.
Laya typed decisions on Linux x86_64 via ONNX Runtime
Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) domains. This repository contains complementary tooling in support of that specification.
- cql
- clinical-quality-language
- cds
- java
Maze Applied Reinforcement Learning Framework