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📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
Mapping a variable-length sentence to a fixed-length vector using BERT model
论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
AAAI20 Paper: End-to-End Bootstrapping Neural Network for Entity Set Expansion
A web app for ranking computer science departments according to their research output in selective venues.
A latex cv/resume template.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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.
A Python module to scrape several search engines (like Google, Yandex, Bing, Duckduckgo, Baidu and others) by using proxies (socks4/5, http proxy) and with many different IP's, including asynchronous networking support (very fast).
:statue_of_liberty:最新可用的google hosts文件。镜像:
Implementation of Ladder Network in PyTorch.
Personal website for Dr. Lingyong Yan
EMNLP 2019 paper: Learning to Bootstrap for Entity Set Expansion
PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the parameter estimation process.
🙃 A delightful community-driven (with 1800+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, OSX, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
An Open-Source Package for Neural Relation Extraction (NRE)
Graph Convolutional Networks in PyTorch
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
Deep Reinforcement Learning with pytorch & visdom
Build your neural network easy and fast
Geometric Deep Learning Extension Library for PyTorch
This code is written for the blogs
SEO python scraper to extract and analyze data from major search engine serps or text content of any other url. Extract data like title, url, type, text- and richsnippet of searchresults for given keywords. detect ads, automated screenshots.
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.