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ACL2020 Tutorial: Open-Domain Question Answering
Contains all teaching material used in ACL 2020 Tutorial "Reviewing NLP" given on July 5 2020
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
A complete computer science study plan to become a software engineer.
Solutions to problems sent by dailycodingproblem.com
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
Annotation meets Large Language Models (ChatGPT, GPT-3 and alike).
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Simple transformer implementation from scratch in pytorch.
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
A robot powered training repository :robot:
Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
Resources from our IWCS 2019 paper: Temporal and Aspectual Entailment
Lecture Notes for Linear Algebra Featuring Python
Build a Jekyll blog in minutes, without touching the command line.
Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statements between two sentences, by (i) finetuning the models on corpora enriched with implicit information; and by (ii) constraining models with key concepts and commonsense knowledge paths connecting them.
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.