ToolAI.io · Kênh GitHub
Duyệt toàn bộ thư mục ToolAI gồm các dự án AI mã nguồn mở trên GitHub, được sắp xếp theo chủ đề, ngôn ngữ và giấy phép.
Dữ liệu kho lưu trữ công khai
paulduvall/ai-development-patterns
A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.
zai-org/Synapse
Self-hosted AI workspace with shareable AI teammates, shared conversations, memory, and governed access to plugins, MCP tools, and local devices.
PaddlePaddle/PaddleFormers
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
zai-org/CogVideo
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
01-ai/langcrew
A high-level multi-agent development framework built on LangGraph, combining CrewAI’s intuitive concepts with enterprise-grade features, ready-to-use templates, and full-stack UI for rapid productization.
janhq/jan
A local AI chat application for running models on a personal computer.
Tencent-Hunyuan/Hunyuan3D-2
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
PaddlePaddle/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
NVIDIA/cosmos
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
PaddlePaddle/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
xai-org/grok-build
SpaceXAI's coding agent harness and TUI. Fullscreen, mouse interactive, extensible.
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.
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