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😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
Visualizer for neural network, deep learning and machine learning models
A memory-efficient implementation of DenseNets
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Implementing Attention Augmented Convolutional Networks using Pytorch
try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch
Implementation of Non-local Block.
PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"
awesome image and video denoising, state of the art networks
Collection of popular and reproducible image denoising works.
Urban Region Function Classification
XJTU&Baidu URFC , Online Accuracy： 0.7199
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）