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. 💜
💫 Industrial-strength Natural Language Processing (NLP) in Python
deep learning for image processing including classification and object-detection etc.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
An open source implementation of CLIP.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Accelerated deep learning R&D
Deep neural network to extract intelligent information from invoice documents.
An open source library and framework for deep learning on satellite and aerial imagery.
A curated list of data mining papers about fraud detection.
MLBox is a powerful Automated Machine Learning python library.
A curated list of gradient boosting research papers with implementations.
Classify music genre from a 10 second sound stream using a Neural Network.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
A simple, flexible, and extensible template for PyTorch. It's beautiful.