M

machine-learning

Agent skills for Ultralytics YOLO, covering models, datasets, training, tuning, inference, tracking, and export.

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

https://www.ultralytics.com

Official Python SDK for the Ultralytics Platform API

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

https://platform.ultralytics.com/api/docs

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

Готовая база из 5 881 ответа по 21 тесту hh.ru - сдать с первой попытки https://it-mountain.ru/hh-tests

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.

Official repository of the Ruhr university Neural Network energy representation (RuNNer).

RuNNerASE is a collection of packages for training, evaluating, and analyzing machine learning potentials with RuNNer, the Ruhr university Neural Network energy representation.

Full stack IoT predictive maintenance platform with embedded firmware, sensor telemetry, FastAPI services, PostgreSQL storage, dashboards and anomaly detection.

ML engine for discrete circuit design: simulates and labels circuits, trains a GNN surrogate, then uses it to design, self-tune, and run inference on a microcontroller.

Finally a smart RSS reader which doesn't suck ass or your data.

Data Science / Machine Learning Pipeline component for training and deploying ML models using CI

Tiny neural amp/pedal capture: a small GRU learns a guitar amp's sound, small enough to run in real time on a sub-$5 microcontroller.

Interactive Movie Recommendation Engine featuring Collaborative Filtering and Streamlit UI. Built by Pavan Badempet.

Ultralytics YOLO26 quickstart for detection, instance and semantic segmentation, depth estimation, classification, pose, OBB, and tracking.

GitHub: https://github.com/ultralytics/yolo26

https://platform.ultralytics.com/ultralytics/yolo26

Ultralytics YOLO11 discovery and quickstart for detection, segmentation, classification, pose, OBB, and tracking.

GitHub: https://github.com/ultralytics/yolo11

https://platform.ultralytics.com/ultralytics/yolo11

Ultralytics YOLOv8 discovery and quickstart for detection, segmentation, classification, pose, OBB, and tracking.

GitHub: https://github.com/ultralytics/yolov8

https://platform.ultralytics.com/ultralytics/yolov8

Historical Ultralytics HUB repository — HUB shut down on July 31, 2026 and was replaced by Ultralytics Platform.

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

https://platform.ultralytics.com

Ultralytics organization-wide GitHub community health files, issue and pull request templates, and the public org profile.

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

https://ultralytics.com

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

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

https://ultralytics.com

Shared MATLAB utility functions for Ultralytics scientific computing, machine learning, data analysis, geometry, visualization, and reusable research workflows.

GitHub: https://github.com/ultralytics/functions-matlab

https://ultralytics.com