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. 💜
deep learning for image processing including classification and object-detection etc.
Face recognition using Tensorflow
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A paper list of object detection using deep learning.
Fast and Accurate ML in 3 Lines of Code
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.
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
A python library for user-friendly forecasting and anomaly detection on time series.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Accelerated deep learning R&D
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A curated list of community detection research papers with implementations.
An open source library and framework for deep learning on satellite and aerial imagery.
A curated list of data mining papers about fraud detection.
World's first general purpose 3D object detection codebse.
StarDist - Object Detection with Star-convex Shapes
High level network definitions with pre-trained weights in TensorFlow
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
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.