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Name: MLE
Type: User
Location: Bay Area, California
Name: MLE
Type: User
Location: Bay Area, California
Question Generation using Google T5 and Text2Text
Hoffmann's implementation of MultiR and our extensions to it
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Entity linking framework
NeMo: a toolkit for conversational AI
Visualizer for neural network, deep learning, and machine learning models
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Training neural models with structured signals.
NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT
Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Natural Language Processing (Spring 2020)
YSDA course in Natural Language Processing
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
Nordlys: Toolkit for entity-oriented and semantic search
Accelerating network inference over video
Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article
Source code and dataset for KDD 2019 paper "OAG: Toward Linking Large-scale Heterogeneous Entity Graphs"
Ontology based APIs
Validate and transform various OCR file formats (hOCR, ALTO, PAGE, FineReader)
Benchmark datasets, data loaders, and evaluators for graph machine learning
Iterative Rank-Aware Open IE
Ontario: Federated SPARQL Query Processing Engine over Semantic Data Lakes
Ontodia data diagraming library
Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
Online Appendix with Data and Code for SIGIR 2017 paper.
Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names
Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database
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.