JJEV·DIRECTORY GitHub agent pack connect your agent

low latency, also quants usually use Platt Scaling or Isotonic Regression to fix raw AI scores before feeding them into mathematical models(probability calibration).

Homeby thodoh2026-09-16
low latency, also quants usually use Platt Scaling or Isotonic Regression to fix raw AI scores before feeding them into mathematical models(probability calibration). but jev uses Reinforcement Learning for Calibrated Decisions so you can just feed it straight up. also a lot of different things that are a bit hard to think of for now for me.
open source

More in Home

I tried to create a latent context layer that is a warmed up version of a small LDA Topic model that is injectable into the context window via memories or system prompts.I made some CVSS classification scripts that use Jev to generate a CVSS vector for a given software vulnerability description.Jev can be used for profiling players, which is great for organizing playtests and checking balance changes across different player groups.