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ADAM - A Question Answering System. Inspired from IBM Watson
The classical paper list with code about generative adversarial nets
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Tensorflow implementation of contextualized word representations from bi-directional language models
自己动手做聊天机器人教程
Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"
ConMask model described in paper Open-world Knowledge Graph Completion.
Convolutional 2D Knowledge Graph Embeddings resources
code, data, and model for ACL-19 paper "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading"
The baselines used in the CoQA paper
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Baseline Systems of DuReader Dataset
Dockerized code for E3: Entailment-driven Extracting and Editing for Conversational Machine Reading.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implementation of conversational QA model: FlowQA (with slight improvement)
Tutorial on creating your own GAN in Tensorflow
Must-read papers on graph neural networks (GNN)
Build Graph Nets in Tensorflow
A TensorFlow implementation of Group Normalization on the task of image classification
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Question answering over Freebase (single-relation)
PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"
nlp in action
Implementation of End-to-End Memory Network in PyTorch
Implementation of Memory Network in pyTorch
A BERT-Based Machine Reading Comprehension Baseline
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.