PyTorch

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

GitHub: https://github.com/ultralytics/ultralytics

https://platform.ultralytics.com

Make the call. Run local Laya, Von, CLM or hosted Jev for typed classification and scoring through one HTTP and MCP API, with resource-aware batches.

Ultralytics fork of Apple MobileCLIP for fast image-text inference, training, evaluation, and an iOS demo.

GitHub: https://github.com/ultralytics/mobileclip

https://docs.ultralytics.com

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

GitHub: https://github.com/ultralytics/yolov5

https://docs.ultralytics.com/yolov5/

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

GitHub: https://github.com/ultralytics/yolov3

https://docs.ultralytics.com/models/yolov3/

Self-hosted forecasting + prediction service. Five zero-shot time-series foundation models (Chronos-2, TimesFM 2.5, Moirai-2, Toto-1, Sundial) across six forecast types, plus nine supervised tabular ML backends (LightGBM, XGBoost, sklearn family) with calibrated / stacking / diversified meta-learners. Unified REST API + MCP server.

YOLOE data pipeline for grounding and detection labels, predictions, text refinement, cache generation, and visualization.

GitHub: https://github.com/ultralytics/yoloe_data_engine

https://docs.ultralytics.com/models/yoloe/

PyTorch sandbox for testing convolutional networks, ResNets, and other architectures on MNIST digits.

GitHub: https://github.com/ultralytics/mnist

https://ultralytics.com

YOLOv3 training, preprocessing, validation, and inference for object detection in xView satellite imagery and the xView detection challenge.

GitHub: https://github.com/ultralytics/xview-yolov3

https://docs.ultralytics.com

WAVE deep learning for signal readout and reconstruction in full-waveform time-of-flight particle detectors.

GitHub: https://github.com/ultralytics/wave

https://ultralytics.com

The ImagesAnnotator application project` annotations format data exporters library for NN training software

Turns ordinary photos into thermographic, X-ray, Kirlian, and night-vision renders via real physics simulation — not a filter.

A Contextual-Enhanced LightGCN for Movie Recommendation Systems

IF-Net fork + complete preprocessed ShapeNet archive (tar.xz bundles via git LFS). ShapeNet derivatives: non-commercial research use only.

Modular AI toolkit designed to assist animation studio workflows through computer vision.

A basic python system that uses facenet-pytorch for training facial recognition against your group and to do real time facial recognition from video camera.

Forked from official ultralytics repository. Ultralytics YOLO 🚀 —— Attention is all you need

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Advanced Neural Networks