用纯 C99 从零实现的 Kimi K3 推理引擎，单 CPU、8.24 GB 内存即可跑 2.78 万亿参数模型，不依赖 BLAS、框架或 GPU。
用 C/C++ 写的高性能实体组件系统（ECS），面向数据导向设计，帮游戏和引擎开发者把对象逻辑拆成实体与组件，跑得更快、扩展更顺。
把 XGBoost、LightGBM、scikit-learn、CatBoost 和 ONNX 模型一键编译成原生 C99 推理代码，省去 Python 运行时开销，推理速度最高提升 336 倍。
纯 C99 实现的轻量级 ONNX 推理引擎，专为嵌入式设备设计，支持硬件加速，让单片机也能跑深度学习模型。
…project's plan, as CI runs them with billing on ([c99530d](https://github.com/OneUptime/oneuptime/commit/c99530d88049311ff625f1659bc2aee499d16ef9)) - The create-values su
…in-language guide: https://gist.github.com/ruvnet/c994f474e94ce2efbf088b9b1406488d What's new since 0.1.0 (measured on a physical ESP32-C6) Change Before → after Exactnes
… - test: avoid httpx2 dependency in export tests (c99c930) - fix: release v1.5.14 (5ef0cec) - fix: optimize check pnpm function( 5) (b722fd7) - docs: keep README image re
…de. [unfiled] Compiler warnings from headers with C99 and -Wpedantic.
…th contributions ( depth + c(n node samples) ) so C99 inference needs no log() at runtime; output = −anomaly score − offset (positive → inlier) - NaiveBayesStage IR node
…ge subclass; full JSON serialization round-trip - C99 emitter: Linear and SVM backends — C99Emitter.emit() now dispatches LinearStage and SVMStage to dedicated emitters: