Jiehua Yang's starred repositories

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

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soft-nms

Object Detection

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Coding-Interviews

牛客网《剑指offer》练习

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bank_interview

:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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Detection-PyTorch-Notebook

代码 -《深度学习之PyTorch物体检测实战》

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cv_note

记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

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simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

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crnn.pytorch

Convolutional recurrent network in pytorch

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Python-Offer

《剑指Offer》面试题Python实现

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

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DLCA

A pytorch implementation of DLCA

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Double-Attention-Network

This is the PyTorch implementation of Double Attention Network, NIPS 2018

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DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

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Non-local_pytorch

Implementation of Non-local Block.

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R-transformer

Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.

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DeRaindrop_unofficial

Unofficial training part implementation: Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

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ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

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Pytorch-CornerNet

Minimal PyTorch implementation of CornerNet

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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18个章节,50余万字。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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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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RFBNet

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

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Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

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graph-rcnn.pytorch

[ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

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SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

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superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

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GraphCut

Graph cut image segmentation with custom GUI.

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hand-graph-cnn

3D Hand Shape and Pose Estimation from a Single RGB Image

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