Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.
-
Updated
Sep 18, 2026 - Python
Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.
A humorous, probability-based web app that calculates humanities graduate's odds of surviving a data analytics course. Features an independent-factor model. Project materials & code in Russian.
EDA & probability analysis of airline baggage delivery times across ~99K real flights. Python · pandas · SciPy · Matplotlib.
Private-network (PMR) market intelligence POC: archive public vendor data, build a 5-dimension capability matrix, score vendor fit against a bid scenario, output a reproducible HTML report. 专网通信市场情报与竞品分析 POC:公开信息归档 → 五维能力矩阵 → 场景化匹配度评分 → 可复现报告。
Which companies does AI actually disrupt? A 116-column company schema, an evidence-scored exposure model (EPI), LLM research agents that cite sources, and an interactive constellation dashboard.
Excel-based weighted resource allocation model with normalized scoring and proportional reward distribution.
Python decision engine for scoring, ranking, and standardizing multi-factor decisions using configurable inputs and weights.
Interactive Streamlit app that converts Politiscales-style scores into political profiles, x/y spectrum coordinates, detailed interpretations, and comparisons against a 500-profile reference dataset.
Analysis for a jewelry repair workshop in Saint Petersburg – two-stage scoring model using open demographic and competitive data
Weekly FPL player scoring model — ranks all 500+ players per position using a season-aware blend of last-season PPG, current form, fixture difficulty, and position-specific stats. Surfaces top picks, differentials, and watchlist players.
A Python tool for scoring and prioritizing procurement opportunities using margin, technical fit, delivery feasibility and risk.
可解释的八维人才评估:可配置加权评分 + S+/S/A/B/C 分层 + NOT EXISTS 排他 AB 实验(模拟数据)
To associate your repository with the scoring-model topic, visit your repo's landing page and select "manage topics."