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

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

Black-box optimization library

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

Ontology-driven Linked Data processor and server for SPARQL backends. Apache License.

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

Powerful RDF Knowledge Graph Generation with [R2]RML Mappings

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

CSKG: The CommonSense Knowledge Graph

An Efficient RML-Compliant Engine for Knowledge Graph Construction

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

A paper list of research about social knowledge graph

Learning node representation using edge semantics

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

A simplified version of featuretools for Spark

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

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

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.

Node.js application to extract the knowledge represented in Google infoboxes (aka Google Knowlege Graph Panel)

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

An automatic machine learning system

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

Sberbank Data Science Jorney Auto-ML competition

TypeDB-ML is the Machine Learning integrations library for TypeDB

As far as we know, CONVEX is the first unsupervised method for conversational question answering over knowledge graphs. A demo and our benchmark (and more) can be found at

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

📖 Project Docs / Knowledge Base template for Hugo Website Builder. 创建项目文档

Tri-Party Deep Network Representation, IJCAI-16

Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)

Intelligence Task Ontology (ITO)

Automated Time Series Forecasting

中文文本分析相关资源汇总

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

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.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Python package for automatically constructing features from multiple time series

Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020

A framework for large scale recommendation algorithms.

Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)

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

Rich Context leaderboard competition, including the corpus and current SOTA for required tasks.

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

Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]

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

an Ontology SDK

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

Managed Machine Learning Systems and Internet of Things Live Lesson

Automatic machine learning for tabular data. ⚡🔥⚡

Code and Data for paper: Zero-shot Visual Question Answering using Knowledge Graph [ ISWC 2021 ]

Knowledge-aware recommendation papers.

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

AMIE+ association rule mining

A batteries-included kit for knowledge graphs

A low code learning project run with github actions

BioGrakn Knowledge Graph

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.

GAKG is a multimodal Geoscience Academic Knowledge Graph (GAKG) framework by fusing papers' illustrations, text, and bibliometric data.