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awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

densitypeakcluster icon densitypeakcluster

Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.

densitypeakcluster-1 icon densitypeakcluster-1

A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

graph_nets icon graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

pgl icon pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

pycaffe_tutorial icon pycaffe_tutorial

Tutorial for pycaffe, the Python API to the Neural Network framework, Caffe

yolo-fastest icon yolo-fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

yolov5 icon yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-libtorch icon yolov5-libtorch

Real time object detection with deployment of YOLOv5 through LibTorch C++ API

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