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The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.
《统计学习方法》的代码实现
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Open source library for content based image retrieval / visual information retrieval.
Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
This repository is the code of paper "Multi-level Metric Learning for Few-shot Image Recognition".
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
A quick and light check list for machine learning learning.
周志华《机器学习》手推笔记
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Diffusion on manifolds for image retrieval
This project is intended to solve the task of massive image retrieval.
MatConvNet: CNNs for MATLAB
Mathematical Foundations for Deep Learning
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
Tools for generating mini-ImageNet dataset and processing batches
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Udacity Machine Learning Nano Degree Courses
Models and examples built with TensorFlow
Dataset collected for the computer vision community from http://mushroomobserver.org
Official NetworkX source code repository.
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Benchmark of Nearest Neighbor Search on High Dimensional Data
Particular object retrieval using CNN
小样本学习的一些方法
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
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.