部署 AI 应用和模型的最简便方式——构建模型推理 API、任务队列、LLM 应用、多模型流水线等!
ai-inference 开源项目推荐(290 个)
ai-inference 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 290 个仓库Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
oneAPI Data Analytics Library (oneDAL)
使用机器学习的最简单方式。混合搭配底层机器学习库和数据集来源。轻松生成新数据集或修改现有数据集。
LLM infrastructure cost reduction via NUMA-aware weight banking: 147 t/s (8.8x stock llama.cpp) on refurbished enterprise POWER8. Self-hosted inference, no cloud APIs. Part of the Proof of Physical AI stack.
Repo for vLLM Hook, an vLLM plug-in for programming internal states of models deployed on vLLM
Production-ready code examples for Telnyx AI Communications Infrastructure — Voice AI, SMS, SIP, and IoT APIs
面向 IBM POWER8 的 llama.cpp 优化:vec_perm 非双联合坍缩、PSE 硬件熵、DCBT 预取。主权推理。Proof of Physical AI 栈的一部分。
A self-contained native runtime and model format for local AI video generation.
Benchmark results and performance data for the Intel Arc Pro B70 GPU (Xe2/Battlemage) - LLM inference, video generation, dual-GPU scaling.
该项目在 GitHub 上没有填写描述
Cross-platform c++ sdk & model hub for cross-platform AI inference. Ready-to-deploy models including Segment Anything 3, Depth Anything 2 and Gemma.
hummingbird is a lightweight, zero dependency runtime for massive open source Mixture of Experts (MoE) language models. It unifies SSD, RAM, and VRAM into a single intelligent memory hierarchy, enabling inference of models like GPT-OSS 120B, GLM, DeepSeek, Qwen, and more on consumer hardware
本地部署大语言模型的中文教学
A distributed engine for elastic workload, e.g. AI Agent, RL, Quant
Windows-first OpenAI-compatible local LLM server powered by OpenVINO GenAI for Intel CPU/GPU/NPU, with chat UI, model conversion, and setup scripts.
High-performance, AI-native server built from scratch in C + hand-written Assembly (SSE2/AVX2/AVX-512). Supports 10 AI providers — OpenAI, Groq, Anthropic Claude, Google Gemini, DeepSeek, Moonshot/Kimi, Zhipu GLM, Perplexity, Mistral AI, and local models via Ollama — all in one binary.
Can my GPU run this? Pick a GPU to get 3 fitting AI models, quantization, VRAM, speed ranges, and run commands. 한국어·English.
一套功能完整、轻量稳定的 ComfyUI 实用节点集。初衷是为了平替一些断更插件的功能,会持续更新一些新开发的节点插件。有好的创意可以发Issues,我会力所能及想办法做出来。全中文界面,原生控件,不依赖第三方库。
该项目在 GitHub 上没有填写描述
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/ai-inference。
- 该话题在 GitHub 上共有 290 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.3 万 Star,覆盖 6 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。