magicleap/SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

deep-learningfeature-matchinggraph-neural-networkspose-estimation

License & maintenance

Custom or modified license that GitHub does not recognise: read the LICENSE file in the repository before using it in a product.

Last code push 2 years ago.

	Repository	Stars	Language	License	Activity
1	ultralytics/ultralyticsUltralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose esti	★ 62.6k	Python	AGPL-3.0	Active
2	pyg-team/pytorch_geometricGraph Neural Network Library for PyTorch	★ 24.1k	Python	MIT	Active
3	dmlc/dglPython package built to ease deep learning on graph, on top of existing DL frameworks.	★ 14.3k	Python	Apache-2.0	Stale
4	kmario23/deep-learning-drizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lecture	★ 13k	HTML	—	Active
5	tensorflow/tensorflowAn Open Source Machine Learning Framework for Everyone	★ 201.1k	C++	Apache-2.0	Active
6	AUTOMATIC1111/stable-diffusion-webuiStable Diffusion web UI	★ 165.1k	Python	AGPL-3.0	Slowing
7	pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration	★ 104.8k	Python	Other	Active
8	opencv/opencvOpen Source Computer Vision Library	★ 91.2k	C++	Apache-2.0	Active