Richard Yang's repositories

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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15个章节,近20万字。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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

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Reid_reserach

Reid_Algorithm optimization

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-offer-

剑指offer---c++实现

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996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

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channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

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cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

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DaSiamRPN

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

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DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

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long-term-tracking-benchmark

[ECCV'18] Long-term Tracking in the Wild: A Benchmark

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machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

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mlcourse.ai

Open Machine Learning course mlcourse.ai, both in English and Russian

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ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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open-reid

Open source person re-identification library in python

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Open-SCPNet

Code re-implement for SCPNet

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pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

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reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

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Spatial-Temporal-Re-identification

Spatial-Temporal Re-identification

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sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

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ssd_keras

A Keras port of Single Shot MultiBox Detector

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StereoCalib

实现摄像头的标定,双目摄像头的立体矫正、获取深度图和点云坐标,估计三维重建后的体积

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TFusion

CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns

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YOLOv3-model-pruning

对 YOLOv3 做模型剪枝(network slimming),对于 oxford hand 数据集(因项目需要),模型剪枝后的参数量减少 80%,Infer 的速度达到原来 2 倍,mAP 基本不变

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yolov3-network-slimming

yolov3 network slimming剪枝的一种实现

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