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amr-tutorial

awesome-question-answering

Resources, datasets, papers on Question Answering

charagram

Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".

cotype

CoType: Joint Entity and Relation Extraction with Knowledge Bases (WWW'17)

dl4nlp

Deep Learning for NLP resources

dmtk

Microsoft Distributed Machine Learning Toolkit

dynet_tutorial_examples

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

heartburing.github.com

hello-world

test

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lm-lstm-crf

Empower Sequence Labeling with Task-Aware Language Model

memn2n

End-To-End Memory Network using Tensorflow

models

Models and examples built with TensorFlow

nlp-datasets

A list of datasets/corpora for NLP tasks, in reverse chronological order.

proppr

Graph-algorithm inferences over local groundings of first-order logic programs

pytorch-seq2seq

pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.

qa-with-tensorflow

sematch

semantic similarity framework for knowledge graph

seq2seq.pytorch

Sequence-to-Sequence learning using PyTorch

setup-ipsec-vpn

Scripts to build your own IPsec VPN server, with IPsec/L2TP and Cisco IPsec on Ubuntu, Debian and CentOS

slides

stat-nlp-book

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-machine-learning-cookbook

Code repository for TensorFlow Machine Learning Cookbook by Packt

tensorflow-seq2seq-tutorials

Dynamic seq2seq in TensorFlow, step by step

tensorflow-summarization

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

vqa_demo

Visual Question Answering Demo on pretrained model