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49–67 of 67 · Most stars

Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.

  • calibration
  • cuda
  • cuda-graphs
  • decision-making

TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".

AI-assisted Windows and Chrome GUI delegation for Codex: task contracts, local execution, Jev semantic decisions, recovery and outcome verification.

DecisionPivot: a diagnostic benchmark for decision models in LLM systems. Contrast pairs that differ in one decisive detail, generators with independent solvers, scorer and runners.

  • benchmark
  • calibration
  • decision-making
  • evaluation

Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.

Spokenvote.org is a social voting app for reaching consensus in a group of any size, coded in Ruby on Rails and AngularJS. At the center of the direct democracy movement, Spokenvote radically enhances a group’s ability to reach consensus and make better decisions using an intuitive democratic process.

CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀

MiniDungeons is a simple turn-based roguelike puzzle game, implemented as a benchmark problem for modeling decision-making styles of human players.

Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.