Popular GitHub Repositories for Custom Yolo

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.

OpenMMLab Detection Toolbox and Benchmark

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

? Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Crawl a site to generate knowledge files to create your own custom GPT from a URL

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.

Low-code framework for building custom LLMs, neural networks, and other AI models

Turi Create simplifies the development of custom machine learning models.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

OpenVINO? is an open source toolkit for optimizing and deploying AI inference

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

Effortless data labeling with AI support from Segment Anything and other awesome models.

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

mcp-use is the easiest way to interact with mcp servers with custom agents