munian-ustc Goto Github PK

adl

Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)

awesome-crowd-counting

Awesome Crowd Counting

awesome-image-inpainting

awesome-nas

A curated list of neural architecture search (NAS) resources.

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!）

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、Java、Python、C++

cv_paperdaily

CV 每日论文阅读笔记（日更）

darts

Differentiable architecture search for convolutional and recurrent networks

darts-1

Differentiable architecture search for convolutional and recurrent networks

darts.pytorch1.1

Implementation with latest PyTorch (v1.1) for multi-gpu DARTS https://arxiv.org/abs/1806.09055

deepin-wine-ubuntu

Deepin wine for ubuntu

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

deeplearningbook-chinese

Deep Learning Book Chinese Translation

east

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

eval-nas

PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020

gatedconvolution_pytorch

A modified reimplemented in pytorch of inpainting model in Free-Form Image Inpainting with Gated Convolution [http://jiahuiyu.com/deepfill2/]

google-research

Google AI Research

holer

Holer exposes local servers behind NATs and firewalls to the public internet over secure tunnels.

image-inpainting

A paper list of image inpainting

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

javaweb-documents-management-system

本项目是使用JavaWeb技术实现一个简单的文章管理系统（新闻管理系统）其中主要功能如下： 用户和管理员登录 用户发布新文章、文章详情查看、文章修改、文章删除与恢复 用户查看他人对自己授权的文章及其文章信息 用户将自己的文章对他人进行授权 管理员对普通用户新发布的文章进行审核和删除 管理员查看普通用户发布的所有文章及其详情 管理员发布新文章 使用的主要技术有： JavaEE、JDBC、AJAX、JSP、JavaBean 本项目开发环境为： Intellij IDEA 2016.3 Tomcat 8 JDK 1.8 MySQL 5.5

lbam_pytorch

Pytorch re-implementation of Paper: Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mdenas

Multinomial Distribution Learning for Effective Neural Architecture Search

mine-mutual-information-neural-estimation-

A pytorch implementation of MINE(Mutual Information Neural Estimation)

mmdetection

Open MMLab Detection Toolbox with PyTorch 1.0

mxnet-single-path-one-shot-nas

Single Path One-Shot NAS MXNet implementation with full Searching and Training pipeline. A searched model better than original paper is provided.

nas-segm-pytorch

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

new-pac