heath-lee Goto Github PK

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-qa

A curated list of the Question Answering (QA)

cnn-dailymail

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)

csr

A Method of Reasoning CSR Scores from Unstructured Data in Web Pages

cv

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

heath-lee.github.io

khaiii

Kakao Hangul Analyzer III

korean_pointer_generator

Implementation of 'Get To The Point: Summarization with Pointer-Generator Networks' for Korean language

koreandependencyparserusingstackpointer

machinelearningtutorial

Tutorial for machine learning with python

memn2n-babi-python

End-To-End Memory Networks for bAbI question-answering tasks

memn2n-tensorflow

"End-To-End Memory Networks" in Tensorflow

memnn

Memory Networks implementations

neural-combinatorial-rl-tensorflow

in progress

piqa

Phrase-Indexed Question Answering (PIQA)

pointer-generator

(Python3- TensorFlow 1.5) Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pointer-network-tensorflow

TensorFlow implementation of "Pointer Networks"

pointer-networks

Pointer Networks is a new neural architecture to learn the conditional probability of an output sequence with elements that are discrete tokens corresponding to positions in an input sequence.

pointer-networks-1

Pointer Networks Implementation in Keras

pointer-networks-2

An implementation of "Pointer Networks" in Tensorflow

pointer-networks-experiments

Sorting numbers with pointer networks

pointernet

Pytorch implementation of Pointer Network

ptr-net

TensorFlow implementation of a Pointer Network (https://arxiv.org/abs/1506.03134)

pytorch-attention

pytorch neural network attention mechanism

pytorch-pointer-network-for-number-sorting

PyTorch implementation for both integer and float number sorting

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model with script to load Google's pre-trained models

pytorch-sentiment-classification

LSTM and CNN sentiment analysis

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch_fast_campus_2018

패스트캠퍼스 파이토치(2018 1/27~) 실습 자료