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江鹏飞's Projects

awesome-python-login-model icon awesome-python-login-model

😮python模拟登陆一些大型网站,还有一些简单的爬虫,希望对你们有所帮助❤️,如果喜欢记得给个star哦🌟

cvprojects icon cvprojects

computer vision projects | 计算机视觉等好玩的AI项目

dcgan icon dcgan

PyTorch implementation of DCGAN

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,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[email protected] 版权所有,违权必究 Tan 2018.06

dsgan icon dsgan

Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)

edsr-pytorch icon edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

excalidraw icon excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

guide-idea-plugin icon guide-idea-plugin

IDEA Plugin 插件开发可以帮助研发人员提升能效,解决一些实际场景中的共性问题。但最近在折腾IDEA插件开发的时候,市面的资料确实不多,也没有成体系完整的开发指导手册,所以就遇到了很多不知道就不会的事情,需要一点点查询搜索源码、验证API接口,最终把各项功能实现,当然在这个过程中也确实踩了不少坑!接下来在这个专栏会把一些关于 IDEA 插件开发用到的各项知识做成案例输出出来,帮助有需要的研发伙伴,一起建设 IDEA Plugin

httpcanary icon httpcanary

A powerful capture and injection tool for the Android platform

network_proxy_flutter icon network_proxy_flutter

Open source free capture HTTP(S) traffic software ProxyPin, supporting full platform systems

prml icon prml

PRML algorithms implemented in Python

pyqt icon pyqt

PyQt Examples(PyQt各种测试和例子) PyQt4 PyQt5

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-mnist-celeba-gan-dcgan icon pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

pytorch-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch_wavelets icon pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

rcan icon rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

real-world-sr icon real-world-sr

[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019

scn icon scn

Scale-wise Convolution for Image Restoration

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