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Name: Liu Yang
Type: User
Company: Google
Bio: Google Research/ Microsoft/ UMASS CIIR. Research Interests: Information Retrieval, NLP, Machine Learning.
Twitter: liuyang_irnlp
Location: United States
Name: Liu Yang
Type: User
Company: Google
Bio: Google Research/ Microsoft/ UMASS CIIR. Research Interests: Information Retrieval, NLP, Machine Learning.
Twitter: liuyang_irnlp
Location: United States
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization
Python wrappers for torch and lua
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A very simple generative adversarial network (GAN) in PyTorch
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.
pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.
Learning to Rank in TensorFlow
Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"
Lasagne recipes: examples, IPython notebooks, ...
Reinforcement Learning in Python
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"
Recurrent Neural Network library for Torch7's nn
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
A framework of statistical arbitrage mining in performance-driven display advertising.
Dataset accompanying the SPECTER model
scikit-learn: machine learning in Python
Unsupervised text tokenizer for Neural Network-based text generation.
A general-purpose encoder-decoder framework for Tensorflow
Sequence-to-sequence model with LSTM encoder/decoders and attention
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
The Shogun Machine Learning Toolbox (Source Code)
A super simple abstract bot class and instantiation which trains a seq2seq model on the Cornell movie dialog dataset
Incomplete follow-up questions dataset used for comparison with SIRI for SIGIR 2017 paper
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.