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91天学算法-Leetcode图解题解集合(JavaScript/Python)(持续更新) Solutions and Explainations with Hand Drawings in Chinese(JavaScript/Python)(Constant Update)
91tasks20230610-20230908
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
Awesome AI,你的《人工智能指南》!
Paper Lists for Graph Neural Networks
An opinionated list of awesome Python frameworks, libraries, software and resources.
A curated list of awesome test automation frameworks, tools, libraries, and software for different programming languages. Sponsored by https://zapple.tech
《PyTorch深度学习和图神经网络(卷 1)——基础知识》
BG-CNN: A Hybrid Fault Diagnosis Method for Improved Fault Isolation. This repository presents the BG-CNN method, a novel approach that combines the Bond-Graph technique with Convolutional Neural Networks (CNNs) for efficient fault isolation.
✨23⌈秋招⌋⌈校招⌋面试笔记,C/C++/Java/Go/Python/前端/后端面经合集(含答案),从秋招一直到春招补录,陪你找到满意工作,欢迎提交pr补充信息,每天持续更新...
Research on Multi-temporal Cloud Removal Using D-S Evidence Theory and Cloud Segmentation Model
Golang 算法竞赛模板库 | Solutions to Codeforces by Go 💭💡🎈
互联网首份程序员考公指南,由3位已经进入体制内的前大厂程序员联合献上。
Makes judging, compiling, and downloading problems for competitive programming easy.
A database for tennessee plant.
A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.
Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"
测试开发面试资源、复习资料汇总
数字图像处理作业和代码
This repo contains notebooks pertaining to Graph Convolutional Neural Networks and their application on brain imaging data to predict stages of Alzheimer's disease. This research was conducted in Brookhaven National Laboratory's HSRP program. All datasets have been removed.
Notebooks for the ENCCS Graph Neural Networks and Transformers workshop
A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks
The repository is a collection of Jupyter notebooks showcasing various projects related to graph neural networks (GNNs). Each notebook provides a detailed explanation of the project and its implementation, making it easy for users to understand and replicate the results.
In this notebook we are going to show how you can convert tabular data into graph and use it to do your task using graph neural network.
Implementations of the graphical lasso method to estimation of covariance matrices in finance.
Graphical lasso for Sparse Precision Estimation(SPE)
Graphical Lasso and EM algorithm on confounding model
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.