slvDev
精选
esp32-ai
A 28.9 million parameter language model runs on an $8 ESP32-S3 microcontroller entirely on-device, generating simple stories at about 9.5 tokens per second.
AI 仓库情报摘要
FR-AI / ANALYSIS为什么值得关注
它独特地将精确到比特的游戏副本与高性能CUDA RL训练相结合，使得在可控且真实的Minecraft环境中进行RL研究成为可能，而无需依赖Java。
适合谁使用
- 强化学习研究人员
- 游戏AI开发者
- Minecraft模组制作者和逆向工程师
- 对游戏模拟感兴趣的CUDA程序员
典型使用场景
- 使用批处理CUDA在Minecraft中训练强化学习智能体
- 通过像素输出与Java oracle对比验证游戏机制
- 并排视觉比较游戏行为（oracle vs netherite）
- 研究精确到比特的游戏重建及RL集成
项目优势
- 逐位验证与Minecraft 1.11.2的忠实度，与真实Java游戏一致
- 原生的CUDA加速支持批处理RL训练
- Linux x86_64一键设置和构建
- 附送规范测试磁带，用于可复现的像素级验证
使用前须知
- 仅在Linux x86_64上具有完整功能；macOS仅限于查看器/SSH，Windows不支持作为构建主机
- 需要正版Minecraft许可证和JDK 8
- 不包含Mojang资源，依赖用户自己的游戏安装
README 快速开始
netherite
From-scratch C/CUDA Minecraft 1.11.2 (bit-verified vs the real Java game) + batched CUDA RL.
Platforms
| Support | |
|---|---|
| Linux x86_64 | Full stack (build, CUDA train, Java oracle). Canonical: anvil. |
| macOS | Viewer / SSH only (Moonlight, mcwindow). No native game or CUDA train. |
| Windows | Not supported as a build host. |
No Mojang content is shipped. You need a legal Minecraft ownership and JDK 8.
Using an LLM on this repo
Open AGENTS.md (Claude also loads CLAUDE.md). Or paste:
Read AGENTS.md in this repo and follow it. Task:
Clean Linux box (one command)
bash scripts/setup_and_verify.sh # bootstrap + build + --quick sweep
bash scripts/setup_and_verify.sh --demo # + physics/pixel tape replay + SBS MP4
# -> demos/pixel_match_sbs.mp4 (oracle | magma side-by-side)
Prism is optional. Bootstrap uses ForgeGradle; details in docs/BOOTSTRAP.md.
Pixel demo uses the shipped canonical tape under c/magma/raster/verify/demo/.
相关仓库与替代方案
根据分类、Topic 和编程语言匹配的相似项目。
jamesob
精选
local-llm
A comprehensive guide for building and configuring a high-end local machine to run state-of-the-art LLMs, with detailed hardware choices, BIOS tuning, and Docker-based model serving.
makecindy
精选
cindy
Cindy is an open-source AI agent that runs locally on your machine, integrates multiple AI harnesses and models, and provides memory, skills, and automation to perform real work in your projects and apps.