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Name: René Speck
Type: User
Company: Paderborn University
Location: Leipzig
Name: René Speck
Type: User
Company: Paderborn University
Location: Leipzig
Public and free annotated datasets of relationships between entities/nominals
A curated list of awesome lists
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of awesome machine learning interpretability resources.
An awesome list of (large-scale) public datasets on the Internet. (On-going collection)
Train bilingual embeddings as described in our NAACL 2015 workshop paper "Bilingual Word Representations with Monolingual Quality in Mind". Besides, it has all the functionalities of word2vec with added features and code clarity. See README for more info.
Bootstrapping Relationship Extractors with Distributional Semantics
A dataset for knowledge base population research using Common Crawl and DBpedia.
Clean Thesis is a clean, simple, and elegant LaTeX style (or template) for thesis documents.
Concurrent Radix and Suffix Trees for Java
Graph clustering, caching and visualization framework.
A Vaadin widget to visualize small Cytoscape graphs.
Deep Fact Validation
A tool for supervised Machine Learning in OWL and Description Logics
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.
Universal Dependencies online documentation
Java application for training a classifier using bootstrapping methodology.
DyNet: The Dynamic Neural Network Toolkit
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages
ELKI Data Mining Toolkit
Framework to homogenize and combine the output of different entity linking tools, using the level of agreement as a confidence score
Context-Aware Representations for Knowledge Base Relation Extraction
Text generation with entities as context
Extract cyber security entities from unstructured text
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
http://i-saint.skr.jp/exception/
Fact Extraction from Wikipedia Text
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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.