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acm-challenge-workbook

《挑战程序设计竞赛》习题册攻略

awesome

A curated list of awesome lists

awesome-code

各种源码实现（tensorflow,torch,theano,keras,...）

awesome_tensorflow_implementations

chatbotcourse

自己动手做聊天机器人教程

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

deep-learning-for-nlp-resources

List of resources to get started with Deep Learning for NLP.

deep-qa

Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

deep-text-classifier-mtl

It is a tensorflow script for multi-task learning implementation of Kim's paper : Convolutional Neural Networks for Sentence Classification.

deep_qa

A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)

dl-models-for-qa

Keras DL models to answer 8th grade science multiple choice questions (Kaggle AllenAI competition).

dl4nlp

Deep Learning for NLP resources

ensemblesvm

A Library for Ensemble Learning Using Support Vector Machines

fastfm-core

A short paper describing the library is available on arXiv.

gbdt

kaggle-quora

Kaggle Quora Questions Pairs Competition

keras_tripletloss

an implementation of tripletloss for keras (with tensorflow backend)

machinelearning-c---code

using c++ code to show the example of machine learning

multi-task-part-1-notebook

pyfm

Factorization machines in python

qa

Deep Learning for Question Answering

question-and-answering

QA with Deep Learning

semeval2016-task3-cqa

Resources for the Semeval 2016 Task 3 Community Question Answering. Contains word embeddings and system description results

sentence_classification

sentence classification using CNN/LSTM/GRU

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

speech-language-processing

A curated list of speech and natural language processing resources

summaryrank

Python toolkit for ranking experiments on sentence/summary data

tetris

theano-tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

triplet-net

Keras implementation of "Deep Learning using Triplet Network" by Hoffer and Ailon. https://arxiv.org/pdf/1412.6622.pdf