Rf Detr Python Packages

rfdetr

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

libreyolo

LibreYOLO is a MIT licensed open source computer vision library

ml-pipes-core

Build composable ML pipelines that are explicit, traceable, and optimizable.

ml-pipes-tensor

Build composable ML pipelines that are explicit, traceable, and optimizable.

ml-pipes-vision

Build composable ML pipelines that are explicit, traceable, and optimizable.

ml-pipes-torch

Build composable ML pipelines that are explicit, traceable, and optimizable.

ml-pipes

Build composable ML pipelines that are explicit, traceable, and optimizable.

ml-pipes-onnx

Build composable ML pipelines that are explicit, traceable, and optimizable.

ml-pipes-supervision

Compose computer-vision pipelines with ml-pipes, using Supervision operators for annotation, tracking, detection processing, and zone counting.

ml-pipes-llm

Build composable ML pipelines that are explicit, traceable, and optimizable.

rfdetr-ghost

Drop-in performance optimization layer for RF-DETR using custom fused CuteDSL & Triton kernels: same API, significantly faster execution.

ml-pipes-agents

Build composable ML pipelines that are explicit, traceable, and optimizable.

autodistill-rfdetr

RF-DETR target model for use with Autodistill.

ml-pipes-agent

Build composable ML pipelines that are explicit, traceable, and optimizable.

ml-pipes-lang

Build composable ML pipelines that are explicit, traceable, and optimizable.

rfdetr-isarsoft

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]