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Python有趣的小例子、小Demo一网打尽。Python基础、Web开发、数据科学、机器学习、TensorFlow、Pytorch,一切都是简单易懂的小例子。
[IJCAI2022] Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Pytorch implementation of Quaternion Knowledge Graph Embedding.
Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
A list of papers on Generative Adversarial (Neural) Networks
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
Reformer, the efficient Transformer, implemented in Pytorch
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)
ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
RODI Relational-to-Ontology Mapping Quality Benchmark
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
Repository for RuDiK, a system for discovering declarative logical rules over RDF Knowledge Bases
Allows to generate a large number of (single-label head) rules for multi-label classification
S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
PyTorch implementation of Structure Aware Negative Sampling in Knowledge Graphs
24035 saying in Chinese
Code for the SDType and SDValidate algorithms for type completion and error detection in RDF knowledge bases
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
SimplE Embedding for Link Prediction in Knowledge Graphs
Implementation of SimplE Embedding for Link Prediction in Knowledge Graphs in PyTorch
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
PyTorch Implementation for SoftTriple Loss
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.