Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
We write your reusable computer vision tools. 💜
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Image-to-Image Translation in PyTorch
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A collaboration friendly studio for NeRFs
🐍 Geometric Computer Vision Library for Spatial AI
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
A PyTorch Library for Accelerating 3D Deep Learning Research
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A python library for self-supervised learning and latent world models on images.
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Tools for computational pathology
PyTorch Connectomics: segmentation toolbox for EM connectomics
MCP server for spatial transcriptomics analysis through natural language interfaces.