zhouchuangchuang Goto Github PK
Name: Chuang Zhou
Type: User
Name: Chuang Zhou
Type: User
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring
📝Awesome and classical image retrieval papers
This repository is a curated list of papers and open source code for 6D Object Pose Estimation.
A list of awesome Robotics resources
🏞 A content-based image retrieval (CBIR) system
A PyTorch implementation of CGD based on the paper "Combination of Multiple Global Descriptors for Image Retrieval"
Learning Convolutional Neural Networks with Interactive Visualization.
:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
:books: 技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
PCD files for tutorials, examples, or PCL-related applications
End-to-end learning of deep visual representations for image retrieval
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
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
Efficient Diffusion for Image Retrieval
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Simple, straighforward ROS library for hand-eye calibration
A PyTorch implementation of EfficientNet
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
ROS driver for FLIR pan-tilt units
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
:octocat:Various hashing methods for image retrieval and serves as the baselines
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)
Header-only C++/python library for fast approximate nearest neighbors
A Keras implementation of YOLOv3 (Tensorflow backend), which I used to train an object detector for the Kaggle 2018 "Google AI Open Images - Object Detection Track" competition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.