297 Open source projects that are alternatives of or similar to Interstellar

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

PyTorch implementation for Graph Gated Neural Network (for Knowledge Graphs)

💠 Ontology matching system based on formal concept analysis

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

knowledge graph recommendation

In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas

A web only WYSIWYG note taking app that saves notes locally in markdown format.

my own deep learning mastery roadmap

A low code learning project run with github actions

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

NENO is a note-taking app that helps you create your personal knowledge graph.

code for Gogleva et al manuscript

Knowledge-aware recommendation papers.

Combining relational context and relational paths for knowledge graph completion

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Intelligence Task Ontology (ITO)

A paper list of research about social knowledge graph

Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19

Extracts a latent knowledge graph from text and index/query it in elasticsearch or solr

Streaming, transforming, SPARQL-based CSV to RDF converter. Apache license.

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Encodings for neural architecture search

This repo is about NAS

Code and data for our paper "Iterative Entity Alignment via Joint Knowledge Embeddings"

中国明星数据爬取。你甚至可以拿到互联网上所有的人之间的关系，接下来你可以自己发挥！基于这些数据，你可以完成更多有趣的事情。比如说社交网络分析，关系网络可视化，算法研究，和其他有意思的事情。Chinese star data crawling. You can even get all the people on the internet! Based on these data, you can do more interesting things. For example, social network analysis, relational network visualization, algorithm research, and other interesting things.

A collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods

Metagraph是一款知识创作分享工具，不同于以往的知识创作平台，Metagraph提供了强大的内容关联能力。

A project that uses Binary Ninja and GRAKN.AI to perform static analysis on binary files with the goal of identifying bugs in software.

PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.

Data transformation framework for LinkML data models

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

TypeDB: a strongly-typed database

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

RO is an ontology of relations for use with biological ontologies

The official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Graph Data Visualization Demo| 图数据搜索可视化应用案例

COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding

Neural Entity Typing with Knowledge Attention

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Learnable Embedding Space for Efficient Neural Architecture Compression

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

TypeDB-ML is the Machine Learning integrations library for TypeDB

Language Servers for Stardog Languages

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020

中文文本分析相关资源汇总

An Industry Evaluation of Embedding-based Entity Alignment @ COLING'20

(subjective) overview of projects which are related both to python and semantic technologies (RDF, OWL, Reasoning, ...)

Knowledge Graph Miner

An Efficient RML-Compliant Engine for Knowledge Graph Construction

Neural Entity Typing with Language Model Enhancement

Get Data Reused

KE-Dialogue: Injecting knowledge graph into a fully end-to-end dialogue system.

A curated list of ontology things

Source code and datasets of EMNLP2018 paper: "Differentiating Concepts and Instances for Knowledge Graph Embedding".