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adaboost

answerselection

attentive-reader-tensorflow

A tensorflow implementation of Teaching Machines to Read and Comprehend (in progress)

autograd

Efficiently computes derivatives of numpy code.

bert

TensorFlow code and pre-trained models for BERT

binary-tree

btm

Code for Biterm Topic Model (published in WWW 2013)

btm_java

burstybtm

Code for Bursty Biterm Topic Model (published in AAAI2015)

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

compare

compare embedding

convnets-keras

cwe

deep-semantic-similarity-model

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.

deepmind-teaching-machines-to-read-and-comprehend

Implementation of "Teaching Machines to Read and Comprehend" proposed by Google DeepMind

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deepspeech.mxnet

A MXNet implementation of Baidu's DeepSpeech architecture

distro

Torch installation in a self-contained folder

dkt

Our implementation of the LSTM version of Deep Knowledge Tracing (DKT)

dl4mt-tutorial-seq2seq

dpnn

deep extensions to nn

dynet

Dynamic neural network library

errant

ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

f-lm

Language Modeling

fastbtm

fuck-login

模拟登录一些知名的网站，为了方便爬取需要登录的网站

gcc

gitlearn