Inferência, implantação e execução
OpenVINO
openvinotoolkit/openvino
Open-source toolkit for optimizing and deploying AI inference across edge-to-cloud environments.
★ 10,6K⑂ 3,3KC++
ToolAI.io · Canal do GitHub
Projetos de IA em alta no GitHub
Acompanhe repositórios de AI de código aberto ativos nos temas de LLM, agentes, MCP, RAG e programação, com número de estrelas e dados de projetos verificados.
Dados do repositório público
Índice do projeto
Inferência, implantação e execução
Mooncake: KVCache-Centric Infrastructure for Distributed LLM Serving
kvcache-ai/mooncake
Mooncake is a C++ infrastructure project for large-scale LLM inference and training. It separates prefill, decode, and storage resources while providing high-performance transfer, distributed KV-cache storage, and fault-tolerant expert-parallel communication.
★ 6,1K⑂ 1KC++
Inferência, implantação e execução
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
Inferência, implantação e execução
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
Inferência, implantação e execução
Model-Optimizer
NVIDIA/Model-Optimizer
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
★ 3,3K⑂ 513Python
LLM e modelos fundacionais
gpt-oss — Open-weight language model tooling
openai/gpt-oss
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
★ 20,3K⑂ 2,1KPython
Inferência, implantação e execução
FastDeploy
PaddlePaddle/FastDeploy
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
★ 3,7K⑂ 755Python
Inferência, implantação e execução
TensorRT
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
★ 13,2K⑂ 2,4KC++
Inferência, implantação e execução
checkpoint-engine
MoonshotAI/checkpoint-engine
Checkpoint-engine is a simple middleware to update model weights in LLM inference engines
★ 982⑂ 100Python
Visão computacional
sam2
facebookresearch/sam2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
★ 19,6K⑂ 2,5KJupyter Notebook
Inferência, implantação e execução
Paddle-Lite
PaddlePaddle/Paddle-Lite
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）
★ 7,3K⑂ 1,6KC++
Robótica e Edge AI
edgeai-for-beginners
microsoft/edgeai-for-beginners
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
★ 1,6K⑂ 362Jupyter Notebook
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