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Name: Kekun HU
Type: User
Name: Kekun HU
Type: User
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API, with examples for: Face Detection, Machine Learning, Deep Neural Nets, Hand Gesture Recognition, Object Tracking, Feature Matching, Image Histogram
An Open-Source Package for Network Embedding (NE)
2018 Course Information about OS of USTC
AdvancedProjectCode
潘多拉,一个让你呼吸顺畅的ChatGPT。Pandora, a ChatGPT that helps you breathe smoothly.
Multi-threaded Large-Scale RMAT Graph Generator.
Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
PowerGraph: A framework for large-scale machine learning and graph computation.
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Matlab code for machine learning algorithms in book PRML
Protocol Buffers - Google's data interchange format
A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification"
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
《剑指Offer》面试题Python实现
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This is a tutorial for PyTorch Geometric on the YooChoose dataset
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
A novel system for the automated question & answering of product-related user queries present on e-commerce websites using Capsule Networks (implemented in Keras)
This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).
Papers about recommendation systems that I am interested in
Must-read Papers for Recommender Systems (RS)
Best Practices on Recommendation Systems
This repository contains some datasets that I have collected in Recommender Systems.
This is a repository of public data sources for Recommender Systems (RS).
Dataset of threads and comments from reddit
Python Implementation of Reinforcement Learning: An Introduction
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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.