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Convolutional Neural Networks with Recurrent Neural Filters
Convolutional Neural Network for Text Classification in Tensorflow
compare-aggregate model on MovieQA task
Compare six baseline deep learning models on TrecQA
Sentence generation system for evaluating composition
incorporating copying mechanism in sequence-to-sequence learning
Stanford CoreNLP: A Java suite of core NLP tools.
Tool for preparing corpora (e.g., PDTB2.0, SNLI, SICK, etc.)
The Natural Language Decathlon: A Multitask Challenge for NLP
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
Deep Relevance Ranking Using Enhanced Document-Query Interactions
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.
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character embeddings
A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
A collection of various deep learning architectures, models, and tips
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Question-Answering ranking with Deep Learning models (cDSSM, Convolutional, LSTM, Word2Vec). Applied to InsuranceQA dataset and customer service interactions in norwegian retrieved from Facebook.
Implementation of Deep Learning based Recommender Algorithms with Tensorflow.
Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Cleaned code for paper "Natural Language Inference over Interaction Space"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Reproducing Densely Interactive Inference Network in Keras
Code of Directional Self-Attention Network (DiSAN)
深度学习讨论小组,欢迎积极分享资料,例程,回答以及提出相应问题
Keras DL models to answer 8th grade science multiple choice questions (Kaggle AllenAI competition).
Text pre-processing library for deep learning (Keras, tensorflow).
Dual Learning for Machine Translation
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.