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Code for THE WEB CONFERENCE 2019 paper "Review Response Generation in E-Commerce Platforms with External Product Information"
Implementations of deep reinforcement learning algorithms for experiments
Reinforcement learning for natural language processing reading group
An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521
(In development) Tensorflow implementation of RL-NTM
Recurrent neural network grammars
Notes on Recurrent Neural Network Grammars, Dyer et al. 2016
This released code is for our ACL2018 paper "End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions". It gets STOA performance in a textual entailment benchmark -- 82.1% accuracy on SciTail dataset. We release the code and the pretrained model
PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.
Semi-supervised learning via Compact Latent Space Clustering
Transition-based NER system
Shift-reduce parser, ner, python
This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.
中文常用停用词表(哈工大停用词表、百度停用词表等)
Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
🚀 A very efficient Texas Holdem GTO solver :spades::hearts::clubs::diamonds:
All-in-one text de-duplication
Recurrent neural network architectures in TensorFlow for predicting textual entailment.
Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
Virtual adversarial training with Tensorflow
Code for Paper "Zero-shot User Intent Detection via Capsule Neural Networks".
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.