LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards
Online problem-driven learning system
A system for assigning and grading notebooks
A Flutter package for prompting users to upgrade when there is a newer version of the app in the store.
Three trap-laden fix-it tasks with hidden graders for testing an AI coding agent's judgment. Sandbox setup, prompts, answer key, and results for Qwen3.8-Flash, Qwen3.6-35B and Claude Opus 5.
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Jev-powered, rule-based grader for text files. Runs every rule against every line in parallel. No skimming, no missed lines.
Skate 3 gameplay inside of GTA: San Andreas v1.0 Major credits to these project creators - https://github.com/xxanqw/gtasa-open-downgrader , https://github.com/SK8-ENGINE/skate-3-rust-engine + https://github.com/chasmlol/2010-rust-rewrite-mashup , https://github.com/gta-reversed/gta-reversed , https://github.com/DK22Pac/plugin-sdk
Grader 的 agent 采用五阶段主循环:perceive→plan→act→observe→respond,由 harness 驱动。模型只决定意图与置信度,路由、工具集、风险等级由代码钉死。act 分只读 ReAct、RAG、人工提案、批量初批。四个写动作不在工具表,只能产提案。批改输出结构化 GradingDraft,逐条绑定 rubric 与段落 hash,保证可重放。