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implement DPCNN for text classification
Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text (EMNLP2018)
Pytorch code for DivCNN In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
A Deep Q-Network based Reinforcement Learning agent that can perform the NLP task of segmenting a chunk of given texts based on their semantic meaning and context. The taken approach is to feed a window of sentences into the DQN and the agent has discrete actions to determine at what index does a new segment lie or is there no segment in the given window at all. Except for tweaks and optimizations, the approach does seem to work, how well though is a mystery yet unsolved. Work under progress.
Reading text analysis tool written in Python (2.7 and 3)
Descriptive RBM
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension
DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf
Reading Wikipedia to Answer Open-Domain Questions
Facebook Question Answer using Elastic Search
DrQA Web UI
Development of Q&A algorithm using ML techniques.
a tensorflow version using DrQA model from Reading Wikipedia to answer Opendomain questions
This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
A simple pure-Python decision tree construction algorithm
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)
The implementation of the papers "Dual supervised learning for natural language understanding and generation" (ACL 2019) and "Towards Unsupervised Language Understanding and Generation by Joint Dual Learning" (ACL 2020)
A Demo for QA with deep learning
A Large-Scale Dataset for Paraphrased Reading Comprehension
(Bert中文) Dureader阅读理解 排名第七
Code from the paper: "Metric Learning for Dynamic Text Classification"
Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.
Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time according to user-item ratings.
Implementation of Dynamic ReLU on Pytorch
DyNet: The Dynamic Neural Network Toolkit
Rule Engine implemented in Python.
E2E NLG Challenge submission
Code for EACL '17 paper "Identifying beneficial task relations for multi-task learning in deep neural networks"
EASE (Enhanced AI Scoring Engine) is a library that allows for machine learning based classification of textual content. This is useful for tasks such as scoring student essays.
easy web spider for Mtime and douban
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.