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Materials from the ACL 2018 tutorial on neural semantic parsing
Papers on Computational Advertising
An Analytical Evaluation Board of Multi-turn LLM Agents
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
A Lucene toolkit for replicable information retrieval research
Automated Neural Graph Toolkit. high level machine learning toolkit built on top of Google's Tensorflow to facilitate rapid prototyping of Neural Network models which may consist of multiple models chained together.
LSTM and QRNN Language Model Toolkit for PyTorch
TensorFlow - A curated list of dedicated resources http://tensorflow.org
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using BERT model
Document ranking via sentence modeling using BERT
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Multi-layer Recurrent Neural Networks for character-level language models in Python using Tensorflow by 1.3 version (Estimator, Experiment, Dataset)
Dual LSTM Encoder for Dialog Response Generation
ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)
Convolutional Neural Network for Text Classification in Tensorflow
A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
Experiments with Deep Learning
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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 Basic Tutorial Labs
Learning to Rank with Deep Neural Networks
Entity-Duet Neural Ranking Model
Library for fast text representation and classification.
Multilingual word vectors in 78 languages
Topic Modelling for Humans
Code for the paper "Language Models are Unsupervised Multitask Learners"
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.