383 Open source projects that are alternatives of or similar to AutoSF

COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding

A list of data mining and machine learning papers that I implemented in 2019.

Optuna + LightGBM = OptGBM

RO is an ontology of relations for use with biological ontologies

Key information extraction from text and graph visualization

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

Python Meta-Feature Extractor package.

Language Servers for Stardog Languages

This repo is about NAS

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

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

YANGDB Open-source, Scalable, Non-native Graph database (Powered by Elasticsearch)

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

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

Automated machine learning package

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

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Distribution transparent Machine Learning experiments on Apache Spark

💠 Ontology matching system based on formal concept analysis

基于Tensorflow2开发的优秀扩展包及项目

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

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

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

提供强大的NLP能力, low-code实现chatbot

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

BioGrakn Knowledge Graph

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

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

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

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

An Efficient RML-Compliant Engine for Knowledge Graph Construction

A paper list of research about social knowledge graph

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

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

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.

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

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

TypeDB-ML is the Machine Learning integrations library for TypeDB

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Tri-Party Deep Network Representation, IJCAI-16

Intelligence Task Ontology (ITO)

中文文本分析相关资源汇总

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

Python package for automatically constructing features from multiple time series

A framework for large scale recommendation algorithms.

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

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

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

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

Automatic machine learning for tabular data. ⚡🔥⚡

Knowledge-aware recommendation papers.

AMIE+ association rule mining

A low code learning project run with github actions

TypeDB: a strongly-typed database

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

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

AutoVideo: An Automated Video Action Recognition System

Minimum-distortion embedding with PyTorch

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.