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jay's Projects

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

cs-books icon cs-books

本仓库无偿分享各种计算机书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

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

dncnn-pytorch icon dncnn-pytorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

k-svd icon k-svd

K-SVD Methods for Image Denoising.

machine-learning-code icon machine-learning-code

This Repository is some code which packages some commonly used methods in machine learning.

pan icon pan

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

pytorch_classification icon pytorch_classification

利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码

rednet-pytorch icon rednet-pytorch

PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)

ridnet icon ridnet

Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.

visdom-tutorial icon visdom-tutorial

A simple tutorial to use Visdom to plot your PyTorch training graphs

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