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Новые AI-проекты на GitHub

Открывайте недавно добавленные на GitHub проекты AI с открытым исходным кодом: сведения о репозитории, заметки по настройке, лицензии и связанные ресурсы.

Данные публичного репозитория

Индекс проекта

41 Проекты
Инференс, развёртывание и среда выполнения

GPUStack

gpustack/gpustack

GPUStack is an open-source GPU cluster manager for serving AI models and provisioning on-demand, SSH-accessible GPU instances. It orchestrates inference engines including vLLM, SGLang, and TensorRT-LLM across on-premises, Kubernetes, and cloud environments.

★ 5,4K⑂ 604Python
Apache-2.0Q98
Инференс, развёртывание и среда выполнения

llm-d: Distributed LLM Inference on Kubernetes

llm-d/llm-d

llm-d is an open-source serving stack that adds distributed orchestration, routing, cache management, autoscaling, and batch processing around model servers such as vLLM and SGLang. It targets high-scale production inference on Kubernetes and modern hardware accelerators.

★ 4K⑂ 649Shell
Apache-2.0Q98
Инференс, развёртывание и среда выполнения

vLLM Ascend

vllm-project/vllm-ascend

A community-maintained hardware plugin that enables vLLM to run model inference and serving workloads on supported Ascend NPUs.

★ 2,7K⑂ 2,1KC++
Apache-2.0Q98
Агенты и мультиагенты

dstack

dstackai/dstack

A vendor-agnostic control plane for provisioning and orchestrating training, inference, development, and agentic workloads across GPU clouds, Kubernetes, and on-premises infrastructure.

★ 2,2K⑂ 249Python
MPL-2.0Q98
Инференс, развёртывание и среда выполнения

any-llm: A Unified Python Interface for LLM Providers

mozilla-ai/any-llm

any-llm is a Python SDK for communicating with multiple LLM providers through one interface. It supports switching providers and models with minimal code changes while using official provider SDKs when available.

★ 2,2K⑂ 211Python
Apache-2.0Q98
Инференс, развёртывание и среда выполнения

xLLM: High-Performance Inference Engine for Diverse AI Accelerators

xllm-ai/xllm

xLLM is a C++ inference framework for LLM, VLM, DiT and REC models. It targets high-throughput, low-latency deployment on several AI accelerator families and separates service-layer scheduling and availability from engine-layer computation.

★ 1,5K⑂ 279C++
Apache-2.0Q98
Скриншот memra
Инференс, развёртывание и среда выполнения

memra

avifenesh/memra

A from-scratch LLM inference engine built in Rust and CUDA, specifically optimized for RTX 5090 (sm_120a) and H100 (sm_90a) architectures, delivering exactness-gated performance without relying on frameworks like ggml.

★ 314⑂ 35Rust
MITQ92
Скриншот hal0
Инференс, развёртывание и среда выполнения

hal0

hal0ai/hal0

An open-source, self-hosted home AI inference platform designed to turn a Linux box into an OpenAI-compatible inference appliance, with native optimization for AMD Strix Halo hardware.

★ 68⑂ 7Python
Apache-2.0Q89
Скриншот Qwen3-Coder — Code-focused language models
LLM и базовые модели

Qwen3-Coder — Code-focused language models

QwenLM/Qwen3-Coder

Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team

★ 16,8K⑂ 1,2KPython
Лицензия не обнаруженаQ82

Страница 3 / 4 · 41 проектов

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