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Name: MLE
Type: User
Location: Bay Area, California
Name: MLE
Type: User
Location: Bay Area, California
Code for paper Attend, Copy, Parse - End-to-end information extraction from documents (https://arxiv.org/abs/1812.07248)
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion: https://ieeexplore.ieee.org/document/8983212
Learning Named Entity Tagger from Domain-Specific Dictionary
AutoPhrase: Automated Phrase Mining from Massive Text Corpora
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
Warning: Not working at the moment. Maintainer on parental leave. AutoSPARQL allows to create SPARQL queries over RDF knowledge bases from natural language with low effort.
A curated list of awesome contrastive self-supervised learning papers.
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A system for generating training labels via natural language explanations
Python Backtesting library for trading strategies
A framework to compare entity linking systems.
Apache Beam is a unified programming model for Batch and Streaming
Repository for benchmarking graph neural networks
The Berkeley Entity Resolution System jointly solves the problems of named entity recognition, coreference resolution, and entity linking with a feature-rich discriminative model.
Mapping a variable-length sentence to a fixed-length vector using BERT model
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Its BlazeIt because it's blazing fast
Entity Linker solution
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
Natural language processing pipeline for book-length documents
Self-Supervision for Named Entity Disambiguation at the Tail
Scalable, event-driven, deep-learning-friendly backtesting library
Create a knowledge base using domain specific documents and the mammoth python library
A Python library to extract tabular data from PDFs
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
Implementation for paper " Unsupervised Domain Adaptation on Reading Comprehension "
[WWW 2020] Discriminative Topic Mining via Category-Name Guided Text Embedding
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
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.