ToolAI.io · Canal de GitHub
Sigue repositorios de AI de código abierto activos en los ámbitos de LLM, agentes, MCP, RAG y programación, con su número de estrellas y datos de proyectos verificados.
Datos del repositorio público
huggingface/transformers
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal domains, supporting both inference and training.
opencsgs/csghub
CSGHub is an open-source, on-premise platform for managing the full lifecycle of Large Language Model assets, including models, datasets, spaces, and code, offering functionality comparable to a private Hugging Face.
lemonade-sdk/lemonade
Lemonade is an open-source local AI server that enables users to run optimized Large Language Models (LLMs), speech, and image generation models directly on their own GPUs and NPUs, providing a free and private alternative to cloud APIs.
openvinotoolkit/openvino
Open-source toolkit for optimizing and deploying AI inference across edge-to-cloud environments.
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.
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.
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.
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.
NVIDIA/nvidia-container-toolkit
Configures NVIDIA GPU access for container runtimes such as Docker, supporting containerized inference, training and CUDA workloads.
openai/gpt-oss
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
PaddlePaddle/FastDeploy
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
microsoft/TRELLIS.2
Microsoft’s 3D generation project with image-to-3D inference, PBR texturing and GLB export for GPU-equipped asset workflows.
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