Luheng He's starred repositories

models

Models and examples built with TensorFlow

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Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

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char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

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wikiextractor

A tool for extracting plain text from Wikipedia dumps

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darkforestGo

DarkForest, the Facebook Go engine.

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CommAI-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

tagger

Named Entity Recognition Tool

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libconfig

C/C++ library for processing configuration files

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twitter_nlp

Twitter NLP Tools

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fuel

A data pipeline framework for machine learning

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persistent-rnn

Fast Recurrent Networks Library

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nmn2

Neural module networks

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nips2016

Learning What and Where to Draw

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stack-lstm-ner

NER system based on stack LSTMs

MIXER

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

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berkeleyparser

Automatically exported from code.google.com/p/berkeleyparser

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neural-language-model

Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.

universal-pos-tags

Automatically exported from code.google.com/p/universal-pos-tags

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figer

Fine-Grained Entity Recognizer

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PathLSTM

Neural SRL model

cili

The Global WordNet Association Collaborative Inter-Lingual Index

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neuralccg

Codebase for Global Neural CCG Parsing with Optimality Guarantees

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Annotating-Non-Restrictive

Corpus, code and models for non-restrictive noun phrase modifications. Published in "Annotating and Predicting Non-Restrictive Noun Phrase Modifications" (Stanovsky and Dagan, ACL 2016)

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mturk-semantics

Natural language semantics of the people, by the people, for the people.

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Paddle

PArallel Distributed Deep LEarning

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