Wenjun Wang (wwjwy)

wwjwy

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Company:Hohai University

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Wenjun Wang's repositories

awesome-knowledge-distillation

Awesome Knowledge Distillation

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Awesome-Knowledge-Distillation-1

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

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crack_detection_CNN_masonry

This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".

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DetVisGUI

This is a GUI for easily visualizing detection results .

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flexible-yolov5

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam,dcn and so on), and tensorrt

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ImageStitching

Conducts image stitching upon an input video to generate a panorama in 3D

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mmdeploy

OpenMMLab Model Deployment Framework

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paper-reading

深度学习经典、新论文逐段精读

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reco

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast".

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RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

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SE_DenseNet

This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.

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structural_inspection_main

Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspection and structural health monitoring.

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surface-distance

Library to compute surface distance based performance metrics for segmentation tasks.

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tutorials

机器学习相关教程

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mmdetection2.0_visualize

It is a simple tool based on mmdetection2.0. The tool is used for visualize test result produced by mmdetection 2.0, including drawing PR curves and loss curves.(PR曲线绘制,loss曲线绘制)

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

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HDCB-Net

HDCB-Net

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machine-learning-toy-code

《机器学习》(西瓜书)代码实战

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ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

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mmdetection_visualize

visualize training result for mmdetection 訓練文件可視化, PR curve绘制, F1-score计算

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motion-flow-syn

Motion flow and corresponding blurry image synthesis. Training data generation for "From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur (CVPR'17)".

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PaddleTS

PaddleTS - PaddlePaddle-based Time Series Modeling in Python

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pumpkin-book

《机器学习》(西瓜书)公式详解

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sliding-window

sliding window

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