toufunao Goto Github PK
Type: User
Company: CFETSIT
Bio: Do something interesting.
Location: Shanghai,China
Type: User
Company: CFETSIT
Bio: Do something interesting.
Location: Shanghai,China
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
《深入浅出图神经网络:GNN原理解析》配套代码
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
Simple reference implementation of GraphSAGE.
[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
A custom RPC framework implemented by Netty+Kyro+Zookeeper.(一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。)
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
langchain-ChatGLM, local knowledge based ChatGLM with langchain | 基于本地知识库的 ChatGLM 问答
《统计学习方法》的代码实现
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
Mixture of Attention Heads
NLP上手教程
Natural Language Processing Tutorial for Deep Learning Researchers
编程电子书,电子书,编程书籍,包括C,C#,Docker,Elasticsearch,Git,Hadoop,HeadFirst,Java,Javascript,jvm,Kafka,Linux,Maven,MongoDB,MyBatis,MySQL,Netty,Nginx,Python,RabbitMQ,Redis,Scala,Solr,Spark,Spring,SpringBoot,SpringCloud,TCPIP,Tomcat,Zookeeper,人工智能,大数据类,并发编程,数据库类,数据挖掘,新面试题,架构设计,算法系列,计算机类,设计模式,软件测试,重构优化,等更多分类
图床
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
Reflexion: an autonomous agent with dynamic memory and self-reflection
An implementation of a Reflexion agent for SOTA Human-Eval Python results.
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Finetune ALL LLMs with ALL Adapeters on ALL Platforms!
Learn how to design systems at scale and prepare for system design interviews
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.