Explore Projects
Discover 131 open source projects
Showing 1-20 of 131 projects
Mintplex-Labs/anything-llm
All-in-one AI app for local and remote LLM usage with RAG, agents, and MCP compatibility
ultralytics/ultralytics
YOLO models for computer vision tasks
facebookresearch/segment-anything
Segment Anything Model for image/video segmentation with AI prompts
cypress-io/cypress
Cypress is a fast, reliable testing framework for browser-based applications.
zeroclaw-labs/zeroclaw
Lightweight autonomous AI assistant runtime in Rust—deploy modular agents anywhere with pluggable components
slimtoolkit/slim
Optimizes and secures containers by minifying images up to 30x without changes.
fosrl/pangolin
Identity-aware VPN and proxy for remote access to anything, anywhere, with a focus on self-hosting and zero-trust networking.
facebookresearch/sam2
A repository for running inference with the Meta Segment Anything Model 2 (SAM 2) and example notebooks.
IDEA-Research/Grounded-Segment-Anything
A set of Jupyter Notebooks that combine Grounding DINO, Segment Anything, and Stable Diffusion for automatic detection, segmentation, and generation of anything in images.
HKUDS/RAG-Anything
An all-in-one Retrieval-Augmented Generation (RAG) framework for building multi-modal AI applications.
netease-youdao/QAnything
An open-source question-answering tool that leverages large language models to provide answers to any query.
veeral-patel/how-to-secure-anything
A comprehensive repository covering security engineering principles and practices to systematically secure anything.
pkgxdev/pkgx
A Rust-based environment manager and package runner for developers working with AI-powered tools and workflows.
testcontainers/testcontainers-java
Testcontainers is a Java library for integration testing with lightweight Docker container instances.
CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other powerful models.
CASIA-LMC-Lab/FastSAM
Fast Segment Anything is a Python library for efficient data segmentation.
LiheYoung/Depth-Anything
A foundation model for monocular depth estimation that leverages large-scale unlabeled data.
facebookresearch/sam3
The repository provides code and tools for running inference and fine-tuning with the Meta Segment Anything Model 3 (SAM 3).
DepthAnything/Depth-Anything-V2
A highly capable foundation model for monocular depth estimation, a key component in computer vision.
geekyutao/Inpaint-Anything
An open-source library that allows developers to inpaint images using Segment Anything and state-of-the-art inpainting models.
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